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[1]
H. Shi, “Soft Pressure Sensing System with Application to Underwater Sea Lamprey Detection,” PhD Dissertation, Michigan State University, 2022. Download
[1]
M. Al-Rubaiai, “Enabling Soft Robotic Systems: New Solutions to Stiffness Tuning, Sensing, and Actuation Control,” PhD Dissertation, Michigan State University, 2021. Download
[1]
M. L. Castaño, “Nonlinear Control of Robotic Fish,” PhD Dissertation, Michigan State University, 2021. Download
[1]
Y. K. Al-Nadawi, “Robust Hysteresis Compensation for Nanopositioning Control,” PhD Dissertation, Michigan State University, 2021. Download
[1]
T. da Silva Pinto, “Towards Proprioceptive Grasping with Soft Robotic Hands,” PhD Dissertation, Michigan State University, 2021. Download
[1]
C. Panetta, “Network of Unmanned Surface Vehicles: Design and Application to Target Tracking,” MS Thesis, Michigan State University, 2021. Download
[1]
O. Ennasr, “Gliding Robotic Fish: Design, Collaborative Estimation, and Application to Underwater Sensing,” PhD Dissertation, Michigan State University, 2020. Download
[1]
M. Sharif, “Ionic Polymer-Metal Composite (IPMC): Modeling and Bio-inspired Sensing Applications,” PhD Dissertation, Michigan State University, 2019. Download
[1]
S. Behbahani, “Role of Flexibility in Robotic Fish,” PhD Dissertation, Michigan State University, 2016. Download
[1]
H. Lei, “Modeling and Fabrication of Ionic Polymer-Metal Composite (IPMC) Sensors,” PhD Dissertation, Michigan State University, 2015. Download
[1]
J. Zhang, “Modeling, Identification, and Control of Hysteretic Systems with Application to Vanadium Dioxide Microactuators,” PhD Dissertation, Michigan State University, 2015. Download
[1]
J. Wang, “Robotic Fish: Development, Modeling, and Application to Mobile Sensing,” PhD Dissertation, Michigan State University, 2014. Download
[1]
F. Zhang, “Modeling, Design, and Control of Gliding Robotic Fish,” Michigan State University, 2014. Download
[1]
M. Edardar, “Robust Control of Systems with Piecewise Linear Hysteresis,” PhD Dissertation, Michigan State University, 2013. Download
[1]
A. Abdulsadda, “Artificial Lateral Line Systems for Feedback Control of Underwater Robots,” PhD Dissertation, Michigan State University, 2012. Download
[1]
A. Esbrook, “Control of Systems with Hysteresis Using Servocompensators,” PhD Dissertation, Michigan State University, 2012. Download
[1]
Y. Fang, “Conjugated Polymer Actuators and Sensors: Modeling, Control, and Applications,” PhD Dissertation, Michigan State University, 2009. Download
[1]
Z. Chen, “Ionic Polymer-Metal Composite Artificial Muscles and Sensors: A Control Systems Perspective,” PhD Dissertation, Michigan State University, 2009. Download
[1]
J. Ahrens, “Design and Performance Tradeoffs of High-Gain Observers with Applications to Smart Material Actuated Systems,” PhD Dissertation, Michigan State University, 2006. Download
[1]
X. Tan, “Control of Smart Actuators,” PhD Dissertation, University of Maryland, College Park, 2002. Download
Journal Articles
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https://smlab.msu.edu/wp-content/plugins/zotpress/
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[1]
J. Li et al., "Label-Efficient Learning in Agriculture: A Comprehensive Review," 2023, doi: 10.48550/ARXIV.2305.14691. Download
[1]
M. Al Janaideh, M. Al Saaideh, and X. Tan, "The Prandtl–Ishlinskii Hysteresis Model: Fundamentals of the Model and Its Inverse Compensator [Lecture Notes]," IEEE Control Syst., vol. 43, no. 2, pp. 66–84, 2023, doi: 10.1109/MCS.2023.3234381. Download
[1]
M. L. Castaño and X. Tan, "Backstepping-Based Tracking Control of Underactuated Aquatic Robots," IEEE Trans. Contr. Syst. Technol., vol. 31, no. 3, pp. 1179–1195, 2023, doi: 10.1109/tcst.2022.3215585. Download
[1]
C. Chen, H. Shi, I. González-Afanador, N. Sepúlveda, and X. Tan, "Rapid Fabrication of Flexible Pressure Sensor Array," IEEE Sens. Lett., vol. 7, no. 6, pp. 1–4, 2023, doi: 10.1109/lsens.2023.3277433. Download
[1]
O. Ennasr and X. Tan, "Numerical and Topological Conditions for Suboptimal Distributed Kalman Filtering," IEEE Trans. Control Netw. Syst., vol. 10, no. 3, pp. 1255–1265, 2023, doi: 10.1109/tcns.2022.3181795. Download
[1]
Y. Cao, H. Shi, X. Tan, and N. Sepúlveda, "Nanogenerator-based bidirectional pressure sensor array and its demonstration in underwater invasive species detection," Nano Res., vol. 16, no. 9, pp. 11822–11831, 2023, doi: 10.1007/s12274-022-5195-4. Download
[1]
M. Alzuhiri et al., "IMU-assisted robotic structured light sensing with featureless registration under uncertainties for pipeline inspection," NDT & E International, vol. 139, p. 102936, 2023, doi: 10.1016/j.ndteint.2023.102936. Download
[1]
H. Shi et al., "Automated Soft Pressure Sensor Array-Based Sea Lamprey Detection Using Machine Learning," IEEE Sensors J., vol. 23, no. 7, pp. 7546–7557, Apr. 2023, doi: 10.1109/jsen.2023.3249625. Download
[1]
X. Qi, T. Gao, and X. Tan, "Bioinspired 3D-Printed Snakeskins Enable Effective Serpentine Locomotion of a Soft Robotic Snake," Soft Robotics, vol. 10, no. 3, pp. 568–579, Jun. 2023, doi: 10.1089/soro.2022.0051. Download
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https://smlab.msu.edu/wp-content/plugins/zotpress/
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[1]
D. Chowdhury, Y. K. Al-Nadawi, and X. Tan, "Dynamic inversion-based hysteresis compensation using extended high-gain observer," Automatica, vol. 135, p. 109977, 2022, doi: 10.1016/j.automatica.2021.109977. Download
[1]
M. Al-Rubaiai, R. Tsuruta, U. Gandhi, and X. Tan, "Distributed Measurement of Deformation Magnitude and Location with a Pair of Soft Sensors," Adv Eng Mater, vol. 24, no. 5, p. 2101146, 2022, doi: 10.1002/adem.202101146. Download
[1]
M. Al-Rubaiai et al., "Nonlinear Modeling and Control of Polyvinyl Chloride (PVC) Gel Actuators," IEEE/ASME Trans. Mechatron., vol. 27, no. 4, pp. 2168–2175, 2022, doi: 10.1109/TMECH.2022.3175445. Download
[1]
M. L. Castano and X. Tan, "Trajectory Tracking Control of Rowing Pectoral Fin-Actuated Robotic Fish," IEEE/ASME Trans. Mechatron., vol. 27, no. 4, pp. 2007–2015, 2022, doi: 10.1109/TMECH.2022.3175765. Download
[1]
Y. Cao, H. Shi, X. Tan, and N. Sepulveda, "Enabling Negative Pressure Sensing Through Ferroelectret Device," IEEE Sens. Lett., vol. 6, no. 8, pp. 1–4, 2022, doi: 10.1109/LSENS.2022.3192622. Download
[1]
P. B. Solanki and X. Tan, "A Bidirectional Active-Alignment Control System for LED Communication," IEEE/ASME Trans. Mechatron., vol. 27, no. 5, pp. 3624–3635, 2022, doi: 10.1109/TMECH.2021.3126845. Download
[1]
D. Coleman, M. Castaño, and X. Tan, "Backstepping control of gliding robotic fish for pitch and 3D trajectory tracking," Control Engineering Practice, vol. 129, p. 105350, 2022, doi: 10.1016/j.conengprac.2022.105350. Download
[1]
Z. Frank, M. Al-Rubaiai, X. Tan, and K. J. Kim, "A study of electroactive polyvinyl chloride (PVC) gel actuators through the use of the electric modulus formalism and cyclic linear voltage sweeps," Smart Mater. Struct., vol. 31, no. 3, p. 035020, Mar. 2022, doi: 10.1088/1361-665X/ac4e51. Download
[1]
H. Shi, I. Gonzalez-Afanador, C. Holbrook, N. Sepulveda, and X. Tan, "Soft Pressure Sensor for Underwater Sea Lamprey Detection," IEEE Sensors J., vol. 22, no. 10, pp. 9932–9944, May 2022, doi: 10.1109/JSEN.2022.3166693. Download
[1]
J. N. Greenberg and X. Tan, "Light-Emitting Diode-Based Optical Localization of a Robot in Continuous Motion Using Dynamic Prediction," Journal of Dynamic Systems, Measurement, and Control, vol. 144, no. 11, p. 111005, Nov. 2022, doi: 10.1115/1.4055176. Download
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G. Mamakoukas, M. L. Castano, X. Tan, and T. D. Murphey, "Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems," 2021, doi: 10.48550/ARXIV.2010.05778. Download
[1]
J. N. Greenberg and X. Tan, "Sensitivity-based Data Fusion for Optical Localization of a Mobile Robot," Mechatronics, vol. 73, 2021, doi: 10.1016/j.mechatronics.2021.102488. Download
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H. Shi, C. M. Holbrook, Y. Cao, N. Sepúlveda, and X. Tan, "Measurement of suction pressure dynamics of sea lampreys, Petromyzon marinus," PLoS ONE, vol. 16, no. 4, 2021, doi: 10.1371/journal.pone.0247884. Download
[1]
S. Chen, Y. Pang, Y. Cao, X. Tan, and C. Cao, "Soft Robotic Manipulation System Capable of Stiffness Variation and Dexterous Operation for Safe Human–Machine Interactions," Adv Materials Technologies, vol. 6, no. 5, p. 2100084, 2021, doi: 10.1002/admt.202100084. Download
[1]
T. Pinto, C. Chen, C. Pinger, and X. Tan, "3D-printed liquid metal-based stretchable conductors and pressure sensors," Smart Mater. Struct., vol. 30, no. 9, 2021, doi: 10.1088/1361-665X/ac15a1. Download
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R. Xu, M. Zhou, and X. Tan, "Adaptive Parameter Estimation With Convergence Analysis for the Prandtl–Ishlinskii Hysteresis Operator," ASME Letters in Dynamic Systems and Control, vol. 1, no. 4, 2021, doi: 10.1115/1.4050189. Download
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M. A. Janaideh, R. Xu, and X. Tan, "Adaptive Estimation of Play Radii for a Prandtl–Ishlinskii Hysteresis Operator," IEEE Trans. Contr. Syst. Technol., vol. 29, no. 6, pp. 2687–2695, 2021, doi: 10.1109/TCST.2020.3046019. Download
[1]
G. Mamakoukas, M. L. Castano, X. Tan, and T. D. Murphey, "Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems," IEEE Trans. Robot., vol. 37, no. 6, pp. 2173–2192, 2021, doi: 10.1109/TRO.2021.3076581. Download
[1]
X. Liu, Y. Zhao, D. Geng, S. Chen, X. Tan, and C. Cao, "Soft Humanoid Hands with Large Grasping Force Enabled by Flexible Hybrid Pneumatic Actuators," Soft Robotics, vol. 8, no. 2, pp. 175–185, Apr. 2021, doi: 10.1089/soro.2020.0001. Download
[1]
Y. K. Al-Nadawi, X. Tan, and H. K. Khalil, "Inversion-Based Hysteresis Compensation Using Adaptive Conditional Servocompensator for Nanopositioning Systems," Journal of Dynamic Systems, Measurement, and Control, vol. 143, no. 12, p. 121007, Dec. 2021, doi: 10.1115/1.4052229. Download
[1]
I. Gonzalez-Afanador, H. Shi, C. Holbrook, X. Tan, and N. Sepulveda, "Invasive Sea Lamprey Detection and Characterization Using Interdigitated Electrode (IDE) Contact Sensor," IEEE Sensors J., vol. 21, no. 24, pp. 27947–27956, Dec. 2021, doi: 10.1109/JSEN.2021.3122884. Download
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[1]
L. Lo, H. Shi, H. Wan, Z. Xu, X. Tan, and C. Wang, "Inkjet‐Printed Soft Resistive Pressure Sensor Patch for Wearable Electronics Applications," Adv Materials Technologies, vol. 5, no. 1, p. 1900717, 2020, doi: 10.1002/admt.201900717. Download
[1]
Y. Liu, S. Chen, X. Tan, and C. Cao, "A Finite Element Framework for Magneto-Actuated Large Deformation and Instability of Slender Magneto-Active Elastomers," Int. J. Appl. Mechanics, vol. 12, no. 01, p. 2050013, 2020, doi: 10.1142/S1758825120500131.
[1]
S. Chen et al., "Soft Crawling Robots: Design, Actuation, and Locomotion," Adv Materials Technologies, vol. 5, no. 2, p. 1900837, 2020, doi: 10.1002/admt.201900837. Download
[1]
S. Chen, Y. Pang, H. Yuan, X. Tan, and C. Cao, "Smart Soft Actuators and Grippers Enabled by Self‐Powered Tribo‐Skins," Adv Materials Technologies, vol. 5, no. 4, p. 1901075, 2020, doi: 10.1002/admt.201901075. Download
[1]
X. Qi, H. Shi, T. Pinto, and X. Tan, "A Novel Pneumatic Soft Snake Robot Using Traveling-Wave Locomotion in Constrained Environments," IEEE Robot. Autom. Lett., vol. 5, no. 2, pp. 1610–1617, 2020, doi: 10.1109/LRA.2020.2969923. Download
[1]
A. Hess, X. Tan, and T. Gao, "CFD-based multi-objective controller optimization for soft robotic fish with muscle-like actuation," Bioinspir. Biomim., vol. 15, no. 3, p. 035004, Mar. 2020, doi: 10.1088/1748-3190/ab6dbb. Download
[1]
X. Chen et al., "Guest Editorial: Focused Section on Inaugural Edition of TMECH/AIM Emerging Topics," IEEE/ASME Trans. Mechatron., vol. 25, no. 4, pp. 1695–1697, Aug. 2020, doi: 10.1109/TMECH.2020.3000228. Download
[1]
O. Ennasr and X. Tan, "Time-Difference-of-Arrival (TDOA)-Based Distributed Target Localization by A Robotic Network," IEEE Trans. Control Netw. Syst., vol. 7, no. 3, pp. 1416–1427, Sep. 2020, doi: 10.1109/TCNS.2020.2979864. Download
[1]
J. N. Greenberg and X. Tan, "Dynamic Optical Localization of a Mobile Robot Using Kalman Filtering-Based Position Prediction," IEEE/ASME Trans. Mechatron., vol. 25, no. 5, pp. 2483–2492, Oct. 2020, doi: 10.1109/TMECH.2020.2980434. Download
[1]
O. Ennasr et al., "Characterization of Acoustic Detection Efficiency Using a Gliding Robotic Fish as a Mobile Receiver Platform," Anim Biotelemetry, vol. 8, no. 1, p. 32, Dec. 2020, doi: 10.1186/s40317-020-00219-7. Download
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X. Zeng, S. Ma, J. M. Kruger, R. Wang, X. Tan, and C. Qian, "High-resolution MRI of kidney microstructures at 7.05 T with an endo-colonic Wireless Amplified NMR detector," Journal of Magnetic Resonance, vol. 303, pp. 121–127, 2019, doi: 10.1016/j.jmr.2019.04.014. Download
[1]
M. Al-Rubaiai, T. Pinto, C. Qian, and X. Tan, "Soft Actuators with Stiffness and Shape Modulation Using 3D-Printed Conductive Polylactic Acid Material," Soft Robotics, vol. 6, no. 3, pp. 318–332, 2019, doi: 10.1089/soro.2018.0056. Download
[1]
H. Shi et al., "Screen‐Printed Soft Capacitive Sensors for Spatial Mapping of Both Positive and Negative Pressures Correction," Adv. Funct. Mater., vol. 29, no. 23, p. 1903020, 2019, doi: 10.1002/adfm.201903020. Download
[1]
H. Shi et al., "Screen‐Printed Soft Capacitive Sensors for Spatial Mapping of Both Positive and Negative Pressures," Adv. Funct. Mater., vol. 29, no. 23, p. 1809116, 2019, doi: 10.1002/adfm.201809116. Download
[1]
X. Zeng, S. Ma, J. M. Kruger, R. Wang, X. Tan, and C. Qian, "High-resolution MRI of kidney microstructures at 7.05 T with an endo-colonic Wireless Amplified NMR detector," Journal of Magnetic Resonance, vol. 303, pp. 121–127, 2019, doi: 10.1016/j.jmr.2019.04.014. Download
[1]
S. D. Bopardikar, O. Ennasr, and X. Tan, "Randomized Sensor Selection for Nonlinear Systems With Application to Target Localization," IEEE Robot. Autom. Lett., vol. 4, no. 4, pp. 3553–3560, 2019, doi: 10.1109/LRA.2019.2928208. Download
[1]
S. D. Bopardikar, O. Ennasr, and X. Tan, "Randomized Sensor Selection for Nonlinear Systems With Application to Target Localization," IEEE Robot. Autom. Lett., vol. 4, no. 4, pp. 3553–3560, 2019, doi: 10.1109/LRA.2019.2928208. Download
[1]
V. Vantsevich, D. Gorsich, J. Wang, X. Tan, M. Kumar, and S. Fish, "Special Issue on 'Autonomous Mobile Systems' in Memory of Professor J. Karl Hedrick," Journal of Dynamic Systems, Measurement, and Control, vol. 141, no. 7, p. 070301, Jul. 2019, doi: 10.1115/1.4043691. Download
[1]
M. A. Sharif and X. Tan, "A pressure difference sensor inspired by fish canal lateral line," Bioinspir. Biomim., vol. 14, no. 5, p. 055003, Jul. 2019, doi: 10.1088/1748-3190/ab2fa8. Download
[1]
M. Al-Rubaiai, R. Tsuruta, U. Gandhi, C. Wang, and X. Tan, "A 3D-printed stretchable strain sensor for wind sensing," Smart Mater. Struct., vol. 28, no. 8, p. 084001, Aug. 2019, doi: 10.1088/1361-665X/ab1fa9. Download
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[1]
L. Fang, J. Wang, and X. Tan, "An incremental harmonic balance-based approach for harmonic analysis of closed-loop systems with Prandtl–Ishlinskii operator," Automatica, vol. 88, pp. 48–56, 2018, doi: 10.1016/j.automatica.2017.11.005. Download
[1]
D. Torres, J. Zhang, S. Dooley, X. Tan, and N. Sepulveda, "Hysteresis-Based Mechanical State Programming of MEMS Mirrors," J. Microelectromech. Syst., vol. 27, no. 2, pp. 344–354, 2018, doi: 10.1109/JMEMS.2018.2807482. Download
[1]
P. B. Solanki, M. Al-Rubaiai, and X. Tan, "Extended Kalman Filter-Based Active Alignment Control for LED Optical Communication," IEEE/ASME Trans. Mechatron., vol. 23, no. 4, pp. 1501–1511, 2018, doi: 10.1109/TMECH.2018.2841643. Download
[1]
M. A. Sharif, H. Lei, M. K. Al-Rubaiai, and X. Tan, "Ionic polymer-metal composite torsional sensor: physics-based modeling and experimental validation," Smart Mater. Struct., vol. 27, no. 7, p. 075039, Jul. 2018, doi: 10.1088/1361-665X/aac364. Download
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https://smlab.msu.edu/wp-content/plugins/zotpress/
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A. Ahrari, H. Lei, M. A. Sharif, K. Deb, and X. Tan, "Design optimization of an artificial lateral line system incorporating flow and sensor uncertainties," Engineering Optimization, vol. 49, no. 2, pp. 328–344, 2017, doi: 10.1080/0305215X.2016.1168108. Download
[1]
T. Pinto, L. Cai, C. Wang, and X. Tan, "CNT-based sensor arrays for local strain measurements in soft pneumatic actuators," Int J Intell Robot Appl, vol. 1, no. 2, pp. 157–166, 2017, doi: 10.1007/s41315-017-0018-6. Download
[1]
X. Tan, K. K. Leang, and Z. Yin, "Guest editorial: Focused section on advances in soft robotics," Int J Intell Robot Appl, vol. 1, no. 2, pp. 121–123, 2017, doi: 10.1007/s41315-017-0021-y. Download
[1]
S. Bazaz Behbahani and X. Tan, "Role of Pectoral Fin Flexibility in Robotic Fish Performance," J Nonlinear Sci, vol. 27, no. 4, pp. 1155–1181, 2017, doi: 10.1007/s00332-017-9373-6. Download
[1]
"Xiaobo Tan [People in Control]," IEEE Control Syst., vol. 37, no. 5, pp. 26–104, 2017, doi: 10.1109/MCS.2017.2719081. Download
[1]
A. Ahrari, H. Lei, M. A. Sharif, K. Deb, and X. Tan, "Reliable underwater dipole source characterization in 3D space by an optimally designed artificial lateral line system," Bioinspir. Biomim., vol. 12, no. 3, p. 036010, Apr. 2017, doi: 10.1088/1748-3190/aa69a4. Download
[1]
D. Torres, J. Zhang, S. Dooley, X. Tan, and N. Sepúlveda, "Modeling of MEMS Mirrors Actuated by Phase-Change Mechanism," Micromachines, vol. 8, no. 5, p. 138, Apr. 2017, doi: 10.3390/mi8050138. Download
[1]
Y. Cao, D. Torres, T. Wang, X. Tan, and N. Sepúlveda, "Enabling tunable micromechanical bandpass filters through phase-change materials," Smart Mater. Struct., vol. 26, no. 8, p. 085032, Aug. 2017, doi: 10.1088/1361-665X/aa7545. Download
[1]
S. B. Behbahani and X. Tan, "Design and dynamic modeling of electrorheological fluid-based variable-stiffness fin for robotic fish," Smart Mater. Struct., vol. 26, no. 8, p. 085014, Aug. 2017, doi: 10.1088/1361-665X/aa7238. Download
[1]
F. Zhang, O. Ennasr, and X. Tan, "Gliding Robotic Fish: An Underwater Sensing Platform and Its Spiral-Based Tracking in 3D Space," mar technol soc j, vol. 51, no. 5, pp. 71–78, Sep. 2017, doi: 10.4031/MTSJ.51.5.6. Download
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https://smlab.msu.edu/wp-content/plugins/zotpress/
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M. Al Janaideh, M. Rakotondrabe, and X. Tan, "Guest Editorial Focused Section on Hysteresis in Smart Mechatronic Systems: Modeling, Identification, and Control," IEEE/ASME Trans. Mechatron., vol. 21, no. 1, pp. 1–3, 2016, doi: 10.1109/TMECH.2015.2509177. Download
[1]
H. Lei, M. A. Sharif, and X. Tan, "Dynamics of Omnidirectional IPMC Sensor: Experimental Characterization and Physical Modeling," IEEE/ASME Trans. Mechatron., vol. 21, no. 2, pp. 601–612, 2016, doi: 10.1109/TMECH.2015.2468080. Download
[1]
D. Torres et al., "VO2 -Based MEMS Mirrors," J. Microelectromech. Syst., vol. 25, no. 4, pp. 780–787, 2016, doi: 10.1109/JMEMS.2016.2562609. Download
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F. Zhang, O. Ennasr, E. Litchman, and X. Tan, "Autonomous Sampling of Water Columns Using Gliding Robotic Fish: Algorithms and Harmful-Algae-Sampling Experiments," IEEE Systems Journal, vol. 10, no. 3, pp. 1271–1281, 2016, doi: 10.1109/JSYST.2015.2458173. Download
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S. B. Behbahani and X. Tan, "Design and Modeling of Flexible Passive Rowing Joint for Robotic Fish Pectoral Fins," IEEE Trans. Robot., vol. 32, no. 5, pp. 1119–1132, 2016, doi: 10.1109/TRO.2016.2593452. Download
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L. Fang, J. Wang, and X. Tan, "Analysis and Compensation of Oscillations Induced by Control Valve Stiction," IEEE/ASME Trans. Mechatron., vol. 21, no. 6, pp. 2773–2783, 2016, doi: 10.1109/TMECH.2016.2559510. Download
[1]
A. Hunt, Z. Chen, X. Tan, and M. Kruusmaa, "An integrated electroactive polymer sensor–actuator: design, model-based control, and performance characterization," Smart Mater. Struct., vol. 25, no. 3, p. 035016, Mar. 2016, doi: 10.1088/0964-1726/25/3/035016. Download
[1]
F. Zhang, F. D. Lagor, H. Lei, X. Tan, and D. A. Paley, "Robotic Fish," Mechanical Engineering, vol. 138, no. 03, pp. S2–S5, Mar. 2016, doi: 10.1115/1.2016-Mar-6. Download
[1]
S. B. Behbahani and X. Tan, "Bio-inspired flexible joints with passive feathering for robotic fish pectoral fins," Bioinspir. Biomim., vol. 11, no. 3, p. 036009, May 2016, doi: 10.1088/1748-3190/11/3/036009. Download
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Y. Wang et al., "Monitoring Aquatic Debris Using Smartphone-Based Robots," IEEE Trans. on Mobile Comput., vol. 15, no. 6, pp. 1412–1426, Jun. 2016, doi: 10.1109/TMC.2015.2460240. Download
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J. Zhang, D. Torres, N. Sepúlveda, and X. Tan, "A compressive sensing-based approach for Preisach hysteresis model identification," Smart Mater. Struct., vol. 25, no. 7, p. 075008, Jul. 2016, doi: 10.1088/0964-1726/25/7/075008. Download
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Y. Wang, R. Tan, G. Xing, J. Wang, X. Tan, and X. Liu, "Energy-Efficient Aquatic Environment Monitoring Using Smartphone-Based Robots," ACM Trans. Sen. Netw., vol. 12, no. 3, pp. 1–28, Aug. 2016, doi: 10.1145/2932190. Download
[1]
J. Zhang, D. Torres, J. L. Ebel, N. Sepúlveda, and X. Tan, “A Composite Hysteresis Model in Self-Sensing Feedback Control of Fully Integrated $\mathrmVO_2$ Microactuators,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 5, pp. 2405–2417, Oct. 2016, doi: 10.1109/TMECH.2016.2569499. Download
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E. Merced, D. Torres, X. Tan, and N. Sepulveda, "An Electrothermally Actuated VO2-Based MEMS Using Self-Sensing Feedback Control," J. Microelectromech. Syst., vol. 24, no. 1, pp. 100–107, 2015, doi: 10.1109/JMEMS.2014.2317944. Download
[1]
M. Edardar, Xiaobo Tan, and H. K. Khalil, "Design and Analysis of Sliding Mode Controller Under Approximate Hysteresis Compensation," IEEE Trans. Contr. Syst. Technol., vol. 23, no. 2, pp. 598–608, 2015, doi: 10.1109/TCST.2014.2329187. Download
[1]
J. Zhang, E. Merced, N. Sepúlveda, and X. Tan, "Optimal compression of generalized Prandtl–Ishlinskii hysteresis models," Automatica, vol. 57, pp. 170–179, 2015, doi: 10.1016/j.automatica.2015.04.012. Download
[1]
J. Wang and X. Tan, "Averaging Tail-Actuated Robotic Fish Dynamics Through Force and Moment Scaling," IEEE Trans. Robot., vol. 31, no. 4, pp. 906–917, 2015, doi: 10.1109/TRO.2015.2433539. Download
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H. Lei, C. Lim, and X. Tan, "Humidity-dependence of IPMC sensing dynamics: characterization and modeling from a physical perspective," Meccanica, vol. 50, no. 11, pp. 2663–2673, 2015, doi: 10.1007/s11012-015-0164-6. Download
[1]
G. Berselli, X. Tan, and R. Vertechy, "Soft mechatronics: an emerging design paradigm for the conception of intrinsically compliant electro-mechanical systems," Meccanica, vol. 50, no. 11, pp. 2661–2662, 2015, doi: 10.1007/s11012-015-0307-9. Download
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J. Wang, P. K. McKinley, and X. Tan, "Dynamic Modeling of Robotic Fish With a Base-Actuated Flexible Tail," Journal of Dynamic Systems, Measurement, and Control, vol. 137, no. 1, p. 011004, Jan. 2015, doi: 10.1115/1.4028056. Download
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L. DeVries, F. D. Lagor, H. Lei, X. Tan, and D. A. Paley, "Distributed flow estimation and closed-loop control of an underwater vehicle with a multi-modal artificial lateral line," Bioinspir. Biomim., vol. 10, no. 2, p. 025002, Mar. 2015, doi: 10.1088/1748-3190/10/2/025002. Download
[1]
F. Zhang and X. Tan, "Passivity-Based Stabilization of Underwater Gliders With a Control Surface," Journal of Dynamic Systems, Measurement, and Control, vol. 137, no. 6, p. 061006, Jun. 2015, doi: 10.1115/1.4029078. Download
[1]
A. J. Clark, X. Tan, and P. K. McKinley, "Evolutionary multiobjective design of a flexible caudal fin for robotic fish," Bioinspir. Biomim., vol. 10, no. 6, p. 065006, Nov. 2015, doi: 10.1088/1748-3190/10/6/065006. Download
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[1]
F. Zhang, J. Thon, C. Thon, and X. Tan, "Miniature Underwater Glider: Design and Experimental Results," IEEE/ASME Trans. Mechatron., vol. 19, no. 1, pp. 394–399, 2014, doi: 10.1109/TMECH.2013.2279033. Download
[1]
A. Esbrook, X. Tan, and H. K. Khalil, "Inversion-free stabilization and regulation of systems with hysteresis via integral action," Automatica, vol. 50, no. 4, pp. 1017–1025, 2014, doi: 10.1016/j.automatica.2013.11.013. Download
[1]
J. Zhang, E. Merced, N. Sepulveda, and X. Tan, "Modeling and Inverse Compensation of Nonmonotonic Hysteresis in VO $_2$-Coated Microactuators," IEEE/ASME Trans. Mechatron., vol. 19, no. 2, pp. 579–588, 2014, doi: 10.1109/TMECH.2013.2250989. Download
[1]
Y. Wang, R. Tan, G. Xing, J. Wang, and X. Tan, "Profiling Aquatic Diffusion Process Using Robotic Sensor Networks," IEEE Trans. on Mobile Comput., vol. 13, no. 4, pp. 880–893, 2014, doi: 10.1109/TMC.2013.18. Download
[1]
A. Esbrook, X. Tan, and H. K. Khalil, "Self-Excited Limit Cycles in an Integral-Controlled System With Backlash," IEEE Trans. Automat. Contr., vol. 59, no. 4, pp. 1020–1025, 2014, doi: 10.1109/TAC.2013.2281859. Download
[1]
H. Lei, W. Li, and X. Tan, "Encapsulation of ionic polymer-metal composite (IPMC) sensors with thick parylene: Fabrication process and characterization results," Sensors and Actuators A: Physical, vol. 217, pp. 1–12, 2014, doi: 10.1016/j.sna.2014.05.013. Download
[1]
E. Merced, Xiaobo Tan, and N. Sepulveda, "Closed-Loop Tracking of Large Displacements in Electro-Thermally Actuated ${\rm VO}_{2}$ -Based MEMS," J. Microelectromech. Syst., vol. 23, no. 5, pp. 1073–1083, 2014, doi: 10.1109/JMEMS.2014.2304694. Download
[1]
E. Merced, J. Zhang, X. Tan, and N. Sepulveda, "Robust Control of VO$_{\bf 2}$-Coated Microbenders Using Self-Sensing Feedback," IEEE/ASME Trans. Mechatron., vol. 19, no. 5, pp. 1583–1592, 2014, doi: 10.1109/TMECH.2013.2289375. Download
[1]
X. Wang, G. Alici, and X. Tan, "Modeling and inverse feedforward control for conducting polymer actuators with hysteresis," Smart Mater. Struct., vol. 23, no. 2, p. 025015, Feb. 2014, doi: 10.1088/0964-1726/23/2/025015. Download
[1]
Y. Wang, R. Tan, G. Xing, X. Tan, J. Wang, and R. Zhou, "Spatiotemporal Aquatic Field Reconstruction Using Cyber-Physical Robotic Sensor Systems," ACM Trans. Sen. Netw., vol. 10, no. 4, pp. 1–27, Jun. 2014, doi: 10.1145/2505767. Download
[1]
F. Zhang, F. Zhang, and X. Tan, "Tail-Enabled Spiraling Maneuver for Gliding Robotic Fish," Journal of Dynamic Systems, Measurement, and Control, vol. 136, no. 4, p. 041028, Jul. 2014, doi: 10.1115/1.4026965. Download
[1]
M. Edardar, X. Tan, and H. K. Khalil, "Tracking Error Analysis for Feedback Systems With Hysteresis Inversion and Fast Linear Dynamics1," Journal of Dynamic Systems, Measurement, and Control, vol. 136, no. 4, p. 041010, Jul. 2014, doi: 10.1115/1.4026511. Download
[1]
J. Zhang, E. Merced, N. Sepúlveda, and X. Tan, "Modeling and inverse compensation of hysteresis in vanadium dioxide using an extended generalized Prandtl–Ishlinskii model," Smart Mater. Struct., vol. 23, no. 12, p. 125017, Oct. 2014, doi: 10.1088/0964-1726/23/12/125017. Download
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https://smlab.msu.edu/wp-content/plugins/zotpress/
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A. Esbrook, X. Tan, and H. K. Khalil, "Control of Systems With Hysteresis Via Servocompensation and Its Application to Nanopositioning," IEEE Trans. Contr. Syst. Technol., vol. 21, no. 3, pp. 725–738, 2013, doi: 10.1109/TCST.2012.2192734. Download
[1]
X. Chen, G. Zhu, X. Yang, D. L. S. Hung, and X. Tan, "Model-Based Estimation of Flow Characteristics Using an Ionic Polymer–Metal Composite Beam," IEEE/ASME Trans. Mechatron., vol. 18, no. 3, pp. 932–943, 2013, doi: 10.1109/TMECH.2012.2194300. Download
[1]
E. Merced, X. Tan, and N. Sepúlveda, "Strain energy density of VO2-based microactuators," Sensors and Actuators A: Physical, vol. 196, pp. 30–37, 2013, doi: 10.1016/j.sna.2013.02.029. Download
[1]
A. Esbrook, X. Tan, and H. K. Khalil, "An indirect adaptive servocompensator for signals of unknown frequencies with application to nanopositioning," Automatica, vol. 49, no. 7, pp. 2006–2016, 2013, doi: 10.1016/j.automatica.2013.03.016. Download
[1]
H. Lei, C. Lim, and X. Tan, "Modeling and inverse compensation of dynamics of base-excited ionic polymer–metal composite sensors," Journal of Intelligent Material Systems and Structures, vol. 24, no. 13, pp. 1557–1571, 2013, doi: 10.1177/1045389X13478272. Download
[1]
J. Wang and X. Tan, "A dynamic model for tail-actuated robotic fish with drag coefficient adaptation," Mechatronics, vol. 23, no. 6, pp. 659–668, 2013, doi: 10.1016/j.mechatronics.2013.07.005. Download
[1]
A. T. Abdulsadda and X. Tan, "Nonlinear estimation-based dipole source localization for artificial lateral line systems," Bioinspir. Biomim., vol. 8, no. 2, p. 026005, Mar. 2013, doi: 10.1088/1748-3182/8/2/026005. Download
[1]
A. T. Abdulsadda and X. Tan, "Underwater tracking of a moving dipole source using an artificial lateral line: algorithm and experimental validation with ionic polymer–metal composite flow sensors," Smart Mater. Struct., vol. 22, no. 4, p. 045010, Apr. 2013, doi: 10.1088/0964-1726/22/4/045010. Download
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[1]
A. T. Abdulsadda and X. Tan, "An artificial lateral line system using IPMC sensor arrays," International Journal of Smart and Nano Materials, vol. 3, no. 3, pp. 226–242, 2012, doi: 10.1080/19475411.2011.650233. Download
[1]
R. Dong and X. Tan, "Modeling and open-loop control of IPMC actuators under changing ambient temperature," Smart Mater. Struct., vol. 21, no. 6, p. 065014, Jun. 2012, doi: 10.1088/0964-1726/21/6/065014. Download
[1]
Y. Kengne Fotsing and X. Tan, "Bias-dependent impedance model for ionic polymer-metal composites," Journal of Applied Physics, vol. 111, no. 12, p. 124907, Jun. 2012, doi: 10.1063/1.4730339. Download
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T. Ganley, D. L. S. Hung, G. Zhu, and X. Tan, "Modeling and Inverse Compensation of Temperature-Dependent Ionic Polymer–Metal Composite Sensor Dynamics," IEEE/ASME Trans. Mechatron., vol. 16, no. 1, pp. 80–89, 2011, doi: 10.1109/TMECH.2010.2090665. Download
[1]
Y. Fang, T. J. Pence, and X. Tan, "Fiber-Directed Conjugated-Polymer Torsional Actuator: Nonlinear Elasticity Modeling and Experimental Validation," IEEE/ASME Trans. Mechatron., vol. 16, no. 4, pp. 656–664, 2011, doi: 10.1109/TMECH.2010.2049366. Download
[1]
B. Drinčić, X. Tan, and D. S. Bernstein, "Why are some hysteresis loops shaped like a butterfly?," Automatica, vol. 47, no. 12, pp. 2658–2664, 2011, doi: 10.1016/j.automatica.2011.08.027. Download
[1]
X. Tan, "Autonomous Robotic Fish as Mobile Sensor Platforms: Challenges and Potential Solutions," mar technol soc j, vol. 45, no. 4, pp. 31–40, Jul. 2011, doi: 10.4031/MTSJ.45.4.2. Download
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[1]
Z. Chen and X. Tan, "Monolithic fabrication of ionic polymer–metal composite actuators capable of complex deformation," Sensors and Actuators A: Physical, vol. 157, no. 2, pp. 246–257, 2010, doi: 10.1016/j.sna.2009.11.024. Download
[1]
Y. Fang and X. Tan, "A novel diaphragm micropump actuated by conjugated polymer petals: Fabrication, modeling, and experimental results," Sensors and Actuators A: Physical, vol. 158, no. 1, pp. 121–131, 2010, doi: 10.1016/j.sna.2009.12.012. Download
[1]
Zheng Chen, S. Shatara, and Xiaobo Tan, "Modeling of Biomimetic Robotic Fish Propelled by An Ionic Polymer–Metal Composite Caudal Fin," IEEE/ASME Trans. Mechatron., vol. 15, no. 3, pp. 448–459, 2010, doi: 10.1109/TMECH.2009.2027812. Download
[1]
S. Shatara and X. Tan, "An Efficient, Time-of-Flight-Based Underwater Acoustic Ranging System for Small Robotic Fish," IEEE J. Oceanic Eng., vol. 35, no. 4, pp. 837–846, 2010, doi: 10.1109/JOE.2010.2060810. Download
[1]
X. Tan, W. Xi, and J. S. Baras, "Decentralized coordination of autonomous swarms using parallel Gibbs sampling," Automatica, vol. 46, no. 12, pp. 2068–2076, 2010, doi: 10.1016/j.automatica.2010.09.004. Download
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[1]
R. V. Iyer and X. Tan, "Control of hysteretic systems through inverse compensation," IEEE Control Syst., vol. 29, no. 1, pp. 83–99, 2009, doi: 10.1109/MCS.2008.930924. Download
[1]
X. Tan and R. V. Iyer, "Modeling and control of hysteresis," IEEE Control Syst., vol. 29, no. 1, pp. 26–28, 2009, doi: 10.1109/MCS.2008.930921. Download
[1]
D. Bernstein, "Around and Around," IEEE Control Syst., vol. 29, no. 1, pp. 7–9, 2009, doi: 10.1109/MCS.2008.930438. Download
[1]
J. H. Ahrens, Xiaobo Tan, and H. K. Khalil, "Multirate Sampled-Data Output Feedback Control With Application to Smart Material Actuated Systems," IEEE Trans. Automat. Contr., vol. 54, no. 11, pp. 2518–2529, 2009, doi: 10.1109/TAC.2009.2031204. Download
[1]
Z. Chen, D. R. Hedgepeth, and X. Tan, "A nonlinear, control-oriented model for ionic polymer–metal composite actuators," Smart Mater. Struct., vol. 18, no. 5, p. 055008, May 2009, doi: 10.1088/0964-1726/18/5/055008. Download
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https://smlab.msu.edu/wp-content/plugins/zotpress/
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[1]
Y. Fang, X. Tan, Y. Shen, N. Xi, and G. Alici, "A scalable model for trilayer conjugated polymer actuators and its experimental validation," Materials Science and Engineering: C, vol. 28, no. 3, pp. 421–428, 2008, doi: 10.1016/j.msec.2007.04.024. Download
[1]
Y. Fang, X. Tan, and G. Alici, "Redox level-dependent impedance model for conjugated polymer actuators," Sensors and Actuators B: Chemical, vol. 132, no. 1, pp. 182–190, 2008, doi: 10.1016/j.snb.2008.01.024. Download
[1]
Z. Chen, K.-Y. Kwon, and X. Tan, "Integrated IPMC/PVDF sensory actuator and its validation in feedback control," Sensors and Actuators A: Physical, vol. 144, no. 2, pp. 231–241, 2008, doi: 10.1016/j.sna.2008.01.023. Download
[1]
Yang Fang, Xiaobo Tan, and G. Alici, "Robust Adaptive Control of Conjugated Polymer Actuators," IEEE Trans. Contr. Syst. Technol., vol. 16, no. 4, pp. 600–612, 2008, doi: 10.1109/TCST.2007.912112. Download
[1]
Zheng Chen and Xiaobo Tan, "A Control-Oriented and Physics-Based Model for Ionic Polymer--Metal Composite Actuators," IEEE/ASME Trans. Mechatron., vol. 13, no. 5, pp. 519–529, 2008, doi: 10.1109/TMECH.2008.920021. Download
[1]
Y. Fang, T. J. Pence, and X. Tan, "Nonlinear elastic modeling of differential expansion in trilayer conjugated polymer actuators," Smart Mater. Struct., vol. 17, no. 6, p. 065020, Dec. 2008, doi: 10.1088/0964-1726/17/6/065020. Download
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[1]
Z. Chen, Y. Shen, N. Xi, and X. Tan, "Integrated sensing for ionic polymer–metal composite actuators using PVDF thin films," Smart Mater. Struct., vol. 16, no. 2, pp. S262–S271, Apr. 2007, doi: 10.1088/0964-1726/16/2/S10. Download
[1]
Z. Chen, X. Tan, A. Will, and C. Ziel, "A dynamic model for ionic polymer–metal composite sensors," Smart Mater. Struct., vol. 16, no. 4, pp. 1477–1488, Aug. 2007, doi: 10.1088/0964-1726/16/4/063. Download
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[1]
W. Xi, X. Tan, and J. S. Baras, "Gibbs sampler-based coordination of autonomous swarms," Automatica, vol. 42, no. 7, pp. 1107–1119, 2006, doi: 10.1016/j.automatica.2006.03.006. Download
[1]
X. Tan, A. Modafe, and R. Ghodssi, "Measurement and Modeling of Dynamic Rolling Friction in Linear Microball Bearings," Journal of Dynamic Systems, Measurement, and Control, vol. 128, no. 4, pp. 891–898, Dec. 2006, doi: 10.1115/1.2362786. Download
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[1]
X. Tan, "Almost symplectic Runge–Kutta schemes for Hamiltonian systems," Journal of Computational Physics, vol. 203, no. 1, pp. 250–273, 2005, doi: 10.1016/j.jcp.2004.08.012. Download
[1]
X. Tan, J. S. Baras, and P. S. Krishnaprasad, "Control of hysteresis in smart actuators with application to micro-positioning," Systems & Control Letters, vol. 54, no. 5, pp. 483–492, 2005, doi: 10.1016/j.sysconle.2004.09.013. Download
[1]
R. V. Iyer, Xiaobo Tan, and P. S. Krishnaprasad, "Approximate inversion of the Preisach hysteresis operator with application to control of smart actuators," IEEE Trans. Automat. Contr., vol. 50, no. 6, pp. 798–810, 2005, doi: 10.1109/TAC.2005.849205. Download
[1]
Xiaobo Tan and J. S. Baras, "Adaptive identification and control of hysteresis in smart materials," IEEE Trans. Automat. Contr., vol. 50, no. 6, pp. 827–839, 2005, doi: 10.1109/TAC.2005.849215. Download
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[1]
X. Tan and J. S. Baras, "Modeling and control of hysteresis in magnetostrictive actuators," Automatica, vol. 40, no. 9, pp. 1469–1480, 2004, doi: 10.1016/j.automatica.2004.04.006. Download
2534998
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[1]
P. S. Krishnaprasad and X. Tan, "Cayley transforms in micromagnetics," Physica B: Condensed Matter, vol. 306, no. 1–4, pp. 195–199, 2001, doi: 10.1016/S0921-4526(01)01003-1. Download
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[1]
X. Tan, N. Zhang, L. Tong, and Z. Wang, "Fuzzy control of thyristor-controlled series compensator in power system transients," Fuzzy Sets and Systems, vol. 110, no. 3, pp. 429–436, 2000, doi: 10.1016/S0165-0114(98)00103-1. Download
Conference Papers
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https://smlab.msu.edu/wp-content/plugins/zotpress/
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[1]
E. Gaskell and X. Tan, “Reachability Analysis for Steerable Drifter Systems,” in 2024 American Control Conference (ACC), Toronto, ON, Canada: IEEE, Jul. 2024, pp. 4114–4119. doi: 10.23919/acc60939.2024.10644909.
[1]
A. Kamboj, R. Ranganathan, X. Tan, and V. Srivastava, “Human Motor Learning Dynamics in High-dimensional Tasks,” in 2024 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), arXiv, 2024. doi: 10.48550/ARXIV.2404.13258.
[1]
H. R. Lee, X. Tan, W. Zhang, Y. Deng, and Y. Liu, “Situating Robots in the Organizational Dynamics of the Gas Energy Industry: A Collaborative Design Study,” in 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, Korea, Republic of: IEEE, Aug. 2023, pp. 1096–1101. doi: 10.1109/RO-MAN57019.2023.10309385.
[1]
D. Coleman, S. D. Bopardikar, V. Srivastava, and X. Tan, “Exploration of Unknown Scalar Fields with Multifidelity Gaussian Processes Under Localization Uncertainty,” in 2023 American Control Conference (ACC), San Diego, CA, USA: IEEE, May 2023, pp. 3296–3303. doi: 10.23919/ACC55779.2023.10156554.
[1]
Y. Mei, P. Fairchild, V. Srivastava, C. Cao, and X. Tan, “Simultaneous Motion and Stiffness Control for Soft Pneumatic Manipulators based on a Lagrangian-based Dynamic Model,” in 2023 American Control Conference (ACC), San Diego, CA, USA: IEEE, May 2023, pp. 145–152. doi: 10.23919/ACC55779.2023.10156049.
[1]
S. Matt, H. Shi, X. Tan, A. Thombs, and W. Hou, “Imitating dolphins: Nature-inspired boundary modulation to reduce frictional drag,” in 2023 IEEE Underwater Technology (UT), Tokyo, Japan: IEEE, Mar. 2023, pp. 1–5. doi: 10.1109/UT49729.2023.10103391.
[1]
E. Gaskell and X. Tan, “Optimal Control of Active Drifter Systems,” in 2022 IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico: IEEE, Dec. 2022, pp. 564–570. doi: 10.1109/CDC51059.2022.9993037.
[1]
A. Kamboj, R. Ranganathan, X. Tan, and V. Srivastava, “Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces,” in 2022 American Control Conference (ACC), Atlanta, GA, USA: IEEE, Jun. 2022, pp. 683–688. doi: 10.23919/ACC53348.2022.9867377.
[1]
S. Kondrakunta et al., “Rational selection of goal operations and the integration of search strategies
with a cognitive architecture,” in Ninth Annual Conference on Advances in Cognitive Systems, Oct. 2021.
[1]
M. L. Castano and X. Tan, “Rapid Maneuvering Control of Pectoral Fin-Actuated Robotic Fish,” in 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Delft, Netherlands: IEEE, Jul. 2021, pp. 705–712. doi: 10.1109/AIM46487.2021.9517493.
[1]
D. Coleman, S. D. Bopardikar, and X. Tan, “Incorporating Observability via Control Barrier Functions with Application to Range-based Target Tracking,” in 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Delft, Netherlands: IEEE, Jul. 2021, pp. 713–719. doi: 10.1109/AIM46487.2021.9517467.
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D. Coleman, S. D. Bopardikar, and X. Tan, “Observability-aware Target Tracking with Range Only Measurement,” in 2021 American Control Conference (ACC), New Orleans, LA, USA: IEEE, May 2021, pp. 4217–4224. doi: 10.23919/ACC50511.2021.9483280.
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S. C. Matt, W. Hou, H. Shi, T. Pinto, and X. Tan, “Boundary layer turbulence near an actively controlled deformable surface,” in Ocean Sensing and Monitoring XIII, W. “Will” Hou, Ed., Online Only, United States: SPIE, Apr. 2021, p. 8. doi: 10.1117/12.2587007.
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M. L. Castaño and X. Tan, “Averaged Modeling of Pectoral Fin-Actuated Robotic Fish,” IFAC-PapersOnLine, vol. 54, no. 20, pp. 114–121, 2021, doi: 10.1016/j.ifacol.2021.11.162.
[1]
M. Al-Rubaiai et al., “Control-oriented Nonlinear Modeling of Polyvinyl Chloride (PVC) Gel Actuators,” IFAC-PapersOnLine, vol. 54, no. 20, pp. 304–309, 2021, doi: 10.1016/j.ifacol.2021.11.191.
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E. Gaskell and X. Tan, “Adaptive Parameter Estimation of a Steerable Drifter,” IFAC-PapersOnLine, vol. 54, no. 20, pp. 108–113, 2021, doi: 10.1016/j.ifacol.2021.11.161.
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P. R. Fairchild, V. Srivastava, and X. Tan, “Efficient Path Planning of Soft Robotic Arms in the Presence of Obstacles,” IFAC-PapersOnLine, vol. 54, no. 20, pp. 586–591, 2021, doi: 10.1016/j.ifacol.2021.11.235.
[1]
L. Wei, X. Tan, and V. Srivastava, “Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA: IEEE, Oct. 2020, pp. 7095–7100. doi: 10.1109/IROS45743.2020.9341395.
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P. B. Solanki, S. D. Bopardikar, and X. Tan, “Active Alignment Control-based LED Communication for Underwater Robots,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA: IEEE, Oct. 2020, pp. 1692–1698. doi: 10.1109/IROS45743.2020.9341442.
[1]
H. Shi et al., “Dynamic Modeling of Voice Coil Motor-Actuated Flexible Membranes,” in Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, Virtual, Online: American Society of Mechanical Engineers, Oct. 2020, p. V002T28A005. doi: 10.1115/DSCC2020-3321.
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J. N. Greenberg and X. Tan, “Dynamic Prediction-Based Optical Localization of a Robot During Continuous Movement,” in Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, Virtual, Online: American Society of Mechanical Engineers, Oct. 2020, p. V002T25A005. doi: 10.1115/DSCC2020-3288.
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C. J. Panetta, O. N. Ennasr, and X. Tan, “Distributed Particle Filter With Online Model Learning for Localization Using Time-Difference-of-Arrival (TDOA) Measurements,” in Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, Virtual, Online: American Society of Mechanical Engineers, Oct. 2020, p. V001T05A013. doi: 10.1115/DSCC2020-3305.
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E. Gaskell and X. Tan, “Dynamic Modeling of a Steerable Drifter,” in Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, Virtual, Online: American Society of Mechanical Engineers, Oct. 2020, p. V002T28A003. doi: 10.1115/DSCC2020-3295.
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H. Shi, X. Qi, Y. Cao, N. Sepúlveda, C. Wang, and X. Tan, “Highly Stretchable Resistive Strain Sensors Using Multiple Viscous Conductive Materials,” in ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Virtual, Online: American Society of Mechanical Engineers, Sep. 2020, p. V001T01A012. doi: 10.1115/SMASIS2020-2321.
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D. Coleman and X. Tan, “Backstepping Control of Gliding Robotic Fish for Trajectory Tracking in 3D Space,” in 2020 American Control Conference (ACC), Denver, CO, USA: IEEE, 2020, pp. 3730–3736. doi: 10.23919/ACC45564.2020.9147628.
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M. L. Castano, A. Hess, G. Mamakoukas, T. Gao, T. Murphey, and X. Tan, “Control-oriented Modeling of Soft Robotic Swimmer with Koopman Operators,” in 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, USA: IEEE, 2020, pp. 1679–1685. doi: 10.1109/AIM43001.2020.9159033.
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P. B. Solanki, S. D. Bopardikar, and X. Tan, “A Bidirectional Alignment Control Approach for Planar LED-based Free-Space Optical Communication Systems,” in 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, USA: IEEE, 2020, pp. 1949–1955. doi: 10.1109/AIM43001.2020.9158993.
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D. Coleman, M. Castaño, O. Ennasr, and X. Tan, “Backstepping-Based Trajectory Tracking for Underwater Gliders,” in Volume 3, Rapid Fire Interactive Presentations: Advances in Control Systems; Advances in Robotics and Mechatronics; Automotive and Transportation Systems; Motion Planning and Trajectory Tracking; Soft Mechatronic Actuators and Sensors; Unmanned Ground and Aerial Vehicles, Park City, Utah, USA: American Society of Mechanical Engineers, Oct. 2019, p. V003T19A005. doi: 10.1115/DSCC2019-9028.
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O. Ennasr, G. Mamakoukas, M. Castaño, D. Coleman, T. Murphey, and X. Tan, “Adaptive Single Action Control Policies for Linearly Parameterized Systems,” in Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing, Park City, Utah, USA: American Society of Mechanical Engineers, Oct. 2019, p. V001T02A005. doi: 10.1115/DSCC2019-9134.
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M. Al-Rubaiai, R. Tsuruta, T. Nam, U. Gandhi, and X. Tan, “Direct Printing of a Flexible Strain Sensor for Distributed Monitoring of Deformation in Inflatable Structures,” in ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Louisville, Kentucky, USA: American Society of Mechanical Engineers, Sep. 2019, p. V001T01A011. doi: 10.1115/SMASIS2019-5713.
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M. Al-Rubaiai, R. Tsuruta, U. Gandhi, C. Wang, and X. Tan, “A 3D-printed stretchable strain sensor for wind sensing,” Smart Mater. Struct., vol. 28, no. 8, p. 084001, Aug. 2019, doi: 10.1088/1361-665X/ab1fa9.
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G. Mamakoukas, M. Castano, X. Tan, and T. Murphey, “Local Koopman Operators for Data-Driven Control of Robotic Systems,” in Robotics: Science and Systems XV, Robotics: Science and Systems Foundation, Jun. 2019. doi: 10.15607/RSS.2019.XV.054.
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D. Coleman, M. Khalid, and X. Tan, “Temperature-compensation of 3D-printed polymer-based strain gauge,” in Behavior and Mechanics of Multifunctional Materials XIII, H. E. Naguib, Ed., Denver, United States: SPIE, Mar. 2019, p. 20. doi: 10.1117/12.2513813.
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Y. K. Al-Nadawi, X. Tan, and H. K. Khalil, “Inversion-free Control of Hysteresis Nonlinearity Using An Adaptive Conditional Servomechanism,” in 2019 American Control Conference (ACC), Philadelphia, PA, USA: IEEE, 2019, pp. 3676–3682. doi: 10.23919/ACC.2019.8814847.
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M. L. Castano and X. Tan, “Backstepping Control-based Trajectory Tracking for Tail-actuated Robotic Fish,” in 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hong Kong, China: IEEE, 2019, pp. 839–844. doi: 10.1109/AIM.2019.8868586.
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J. N. Greenberg and X. Tan, “Optical Localization of a Mobile Robot Using Sensitivity-based Data Fusion,” in 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hong Kong, China: IEEE, 2019, pp. 778–783. doi: 10.1109/AIM.2019.8868890.
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M. A. Janaideh and X. Tan, “Adaptive Estimation of Threshold Parameters for a Prandtl-Ishlinskii Hysteresis Operator,” in 2019 American Control Conference (ACC), Philadelphia, PA, USA: IEEE, 2019, pp. 3770–3775. doi: 10.23919/ACC.2019.8814593.
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O. Ennasr, G. Mamakoukas, T. Murphey, and X. Tan, “Ergodic Exploration for Adaptive Sampling of Water Columns Using Gliding Robotic Fish,” in Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control, Atlanta, Georgia, USA: American Society of Mechanical Engineers, Sep. 2018, p. V003T32A016. doi: 10.1115/DSCC2018-9179.
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D. Chowdhury, Y. K. Al-Nadawi, and X. Tan, “Hysteresis Compensation Using Extended High-Gain Observer and Dynamic Inversion,” in Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems, Atlanta, Georgia, USA: American Society of Mechanical Engineers, Sep. 2018, p. V002T24A005. doi: 10.1115/DSCC2018-9082.
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M. A. A. Sharif and X. Tan, “IPMC flow sensor exploiting self-generated vortices,” in Electroactive Polymer Actuators and Devices (EAPAD) XX, Y. Bar-Cohen, Ed., Denver, United States: SPIE, Mar. 2018, p. 44. doi: 10.1117/12.2296362.
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M. A. A. Sharif and X. Tan, “A pressure gradient sensor inspired by the canal neuromasts of fish,” in Electroactive Polymer Actuators and Devices (EAPAD) XX, Y. Bar-Cohen, Ed., Denver, United States: SPIE, Mar. 2018, p. 58. doi: 10.1117/12.2296364.
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H. Shi, T. Pinto, Y. Zhang, C. Wang, and X. Tan, “Soft capacitive sensors for measurement of both positive and negative pressures,” in Nano-, Bio-, Info-Tech Sensors, and 3D Systems II, SPIE, Mar. 2018, pp. 170–181. doi: 10.1117/12.2300748.
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J. Zhang, D. Torres, N. Sepulveda, and X. Tan, “Programming of Systems with Hysteresis Using Pulsed Inputs,” in 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA: IEEE, 2018, pp. 4490–4495. doi: 10.23919/ACC.2018.8431125.
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O. Ennasr and X. Tan, “Distributed Localization of a Moving Target: Structural Observability-based Convergence Analysis,” in 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA: IEEE, 2018, pp. 2897–2903. doi: 10.23919/ACC.2018.8431876.
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P. Bhanu Solanki and X. Tan, “Extended Kalman Filter-Based 3D Active-Alignment Control for LED Communication,” in 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD: IEEE, 2018, pp. 4881–4888. doi: 10.1109/ICRA.2018.8460949.
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Y. K. Al-Nadawi, X. Tan, and H. K. Khalil, “An adaptive conditional servocompensator design for nanopositioning control,” in 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia: IEEE, 2017, pp. 885–890. doi: 10.1109/CDC.2017.8263771.