Reinforcement learning-based fixed-time trajectory tracking control for uncertain robotic manipulators with input saturation

Finite-Time Stability of Continuous Autonomous Systems

Bhat, S. P., & Bernstein, D. S. (2000) · SIAM Journal on Control and Optimization · doi:10.1137/s0363012997321358 · Cited by 5,532 · see citing works

Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems

Polyakov, A. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2179869 · Cited by 5,248 · see citing works

The development of Honda humanoid robot

Hirai, K., Hirose, M., Haikawa, Y., et al. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1998.677288 · Cited by 1,923 · see citing works

Online actor–critic algorithm to solve the continuous-time infinite horizon optimal control problem

Vamvoudakis, K. G., & Lewis, F. L. (2010) · Automatica · doi:10.1016/j.automatica.2010.02.018 · Cited by 1,722 · see citing works

Fixed-Time Consensus Tracking for Multiagent Systems With High-Order Integrator Dynamics

Zuo, Z., Tian, B., Defoort, M., & Ding, Z. (2017) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2017.2729502 · Cited by 786 · see citing works

Adaptive Fixed-Time Control for MIMO Nonlinear Systems With Asymmetric Output Constraints Using Universal Barrier Functions

Jin, X. (2018) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2874877 · Cited by 712 · see citing works

A new class of finite-time nonlinear consensus protocols for multi-agent systems

Zuo, Z., & Tie, L. (2013) · International Journal of Control · doi:10.1080/00207179.2013.834484 · Cited by 679 · see citing works

Fixed-Time Attitude Control for Rigid Spacecraft With Actuator Saturation and Faults

Jiang, B., Hu, Q., & Friswell, M. I. (2016) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2016.2519838 · Cited by 538 · see citing works

Neural Control of Bimanual Robots With Guaranteed Global Stability and Motion Precision

Yang, C., Jiang, Y., Li, Z., He, W., & Su, C. (2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2612646 · Cited by 396 · see citing works

Optimized Backstepping for Tracking Control of Strict-Feedback Systems

Wen, G., Ge, S. S., & Tu, F. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2803726 · Cited by 337 · see citing works

Neural Network-Based Motion Control of an Underactuated Wheeled Inverted Pendulum Model

Yang, C., Li, Z., Cui, R., et al. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2302475 · Cited by 307 · see citing works

Reinforcement Learning Control of a Flexible Two-Link Manipulator: An Experimental Investigation

He, W., Gao, H., Zhou, C., Yang, C., & Li, Z. (2020) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2020.2975232 · Cited by 286 · see citing works

Hypersonic Missile Adaptive Sliding Mode Control Using Finite- and Fixed-Time Observers

Basin, M., Yu, P., & Shtessel, Y. B. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2701776 · Cited by 266 · see citing works

Neural Network Control of a Rehabilitation Robot by State and Output Feedback

He, W., Ge, S. S., Li, Y., Chew, E., & Ng, Y. S. (2014) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-014-0150-6 · Cited by 258 · see citing works

RBF-Neural-Network-Based Adaptive Robust Control for Nonlinear Bilateral Teleoperation Manipulators With Uncertainty and Time Delay

Chen, Z., Huang, F., Sun, W., Gu, J. J., & Yao, B. (2019) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2019.2962081 · Cited by 258 · see citing works

Adaptive second order terminal sliding mode controller for robotic manipulators

Mondal, S., & Mahanta, C. (2013) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2013.08.027 · Cited by 253 · see citing works

World Scientific Series in Robotics and Intelligent Systems

(2012) · World Scientific series in robotics and intelligent systems · doi:10.1142/wssris · Cited by 157 · see citing works

Distributed Consensus Observer for Multiagent Systems With High-Order Integrator Dynamics

Zuo, Z., Defoort, M., Tian, B., et al. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2019.2936555 · Cited by 155 · see citing works

Fixed‐time backstepping control design for high‐order strict‐feedback non‐linear systems via terminal sliding mode

Li, J., Yang, Y., Hua, C., & Guan, X. (2016) · IET Control Theory and Applications · doi:10.1049/iet-cta.2016.1143 · Cited by 135 · see citing works

Fixed‐time consensus tracking control for second‐order multi‐agent systems with bounded input uncertainties via NFFTSM

Huang, Y., & Jia, Y. (2017) · IET Control Theory and Applications · doi:10.1049/iet-cta.2017.0304 · Cited by 135 · see citing works

Robust finite-time control approach for robotic manipulators

Zhao, D., Li, S., Zhu, Q., et al. (2010) · IET Control Theory and Applications · doi:10.1049/iet-cta.2008.0014 · Cited by 116 · see citing works

Robust Fixed-Time Stabilization Control of Generic Linear Systems With Mismatched Disturbances

Zuo, Z., Song, J., Tian, B., et al. (2020) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2020.3010221 · Cited by 112 · see citing works

Reinforcement learning control of a single‐link flexible robotic manipulator

Ouyang, Y., He, W., & Li, X. (2017) · IET Control Theory and Applications · doi:10.1049/iet-cta.2016.1540 · Cited by 92 · see citing works

Fixed-time regulation control of uncertain nonholonomic systems and its applications

Zhang, Z., & Wu, Y. (2016) · International Journal of Control · doi:10.1080/00207179.2016.1205758 · Cited by 70 · see citing works

Continuous Fixed-Time Controller Design for Mechatronic Systems With Incomplete Measurements

Basin, M., Rodríguez-Ramírez, P., & Guerra-Avellaneda, F. (2017) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2700459 · Cited by 70 · see citing works

Extended state observer augmented finite-time trajectory tracking control of uncertain mechanical systems

Sun, L., & Liu, Y. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106374 · Cited by 70 · see citing works

Adaptive neural control using reinforcement learning for a class of robot manipulator

Tang, L. D., Liu, Y., & Tong, S. (2013) · Neural Computing and Applications · doi:10.1007/s00521-013-1455-2 · Cited by 62 · see citing works

A novel adaptive finite-time tracking control for robotic manipulators using nonsingular terminal sliding mode and RBF neural networks

Tran, M.-D., & Kang, H. (2016) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-016-0105-x · Cited by 54 · see citing works

Finite‐time tracking control for pneumatic servo system via extended state observer

Zhao, L., Zhang, B., Yang, H., et al. (2017) · IET Control Theory and Applications · doi:10.1049/iet-cta.2017.0327 · Cited by 54 · see citing works

Finite‐Time Sliding Mode Trajectory Tracking Control of Uncertain Mechanical Systems

Sun, L., & Zheng, Z. (2016) · Asian Journal of Control · doi:10.1002/asjc.1377 · Cited by 46 · see citing works

Reaction-Wheel-Based Roll Stabilization for a Robotic Fish Using Neural Network Sliding Mode Control

Zhang, P., Wu, Z., Dong, H., et al. (2020) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2020.2992038 · Cited by 43 · see citing works

Fixed-Time $\mathcal {H}_{\infty }$ Control for Port-Controlled Hamiltonian Systems

Liu, X., & Liao, X. (2018) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2874768 · Cited by 42 · see citing works

Quasi-Synchronization Control of Multiple Electrohydraulic Actuators With Load Disturbance and Uncertain Parameters

Guo, Q., Li, X., Zuo, Z., et al. (2020) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2020.3030032 · Cited by 36 · see citing works

Virtual State Feedback Reference Tuning and Value Iteration Reinforcement Learning for Unknown Observable Systems Control

Rădac, M., & Borlea, A.-I. (2021) · Energies · doi:10.3390/en14041006 · Cited by 30 · see citing works

Fixed‐time adaptive sliding mode trajectory tracking control of uncertain mechanical systems

Sun, L., & Liu, Y. (2019) · Asian Journal of Control · doi:10.1002/asjc.2109 · Cited by 24 · see citing works

Robust adaptive uniform exact tracking control for uncertain Euler–Lagrange system

Yang, Y., Hua, C., Li, J., et al. (2016) · International Journal of Control · doi:10.1080/00207179.2016.1263761 · Cited by 23 · see citing works

Stock Management Problem: Adaptive Fixed-Time Convergent Continuous Controller Design

Basin, M., Guerra-Avellaneda, F., & Shtessel, Y. B. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2930563 · Cited by 22 · see citing works

A novel adaptive PID controller based on Actor-Critic learning

Yang, Y. (2011) · Control theory & applications · Cited by 8 · see citing works

Saturated adaptive back-stepping control for robot manipulators with RBF neural network approximation

Liu, H., Zhang, Y., & Wu, W. (2016) · IEEE International Conference on Information and Automation (ICIA) · doi:10.1109/icinfa.2016.7832065 · Cited by 6 · see citing works

Reinforcement-learning-based fixed-time attitude consensus control for multiple spacecraft systems with model uncertainties

Chen, R.-Z., Li, Y.-X., & Ahn, C. K. (2023) · Aerospace Science and Technology · doi:10.1016/j.ast.2022.108060 · Cited by 43 · see citing works

Disturbance Observer-Based Fixed-Time Event-Triggered Control for Networked Electro-Hydraulic Systems with Input Saturation

Wang, C., Wang, J., Guo, Q., Liu, Z., & Chen, C. L. P. (2025) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2024.3429638 · Cited by 36 · see citing works

Predefined-Time Tracking Control of Servo Hydraulic Cylinder Based on Reinforcement Learning

Han, T., Nie, X., Que, N., Lu, J., Yao, J., & Yu, X. (2025) · Actuators · doi:10.3390/act15010009 · Cited by 1 · see citing works

Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment

Chen, D., Zhu, Y., Liu, M., et al. (2022) · ACM International Conference on AI in Finance (ICAIF) · doi:10.1145/3533271.3561761 · Cited by 2 · see citing works

Performance of distributed multi-agent multi-state reinforcement spectrum management using different exploration schemes

Ko, A. H. R., Sabourin, R., & Gagnon, F. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.01.035 · Cited by 9 · see citing works

A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Platform

Jiang, Z., & Song, G. (2022) · International Conference on Computing, Robotics and System Sciences (ICRSS) · doi:10.1109/icrss57469.2022.00031 · Cited by 17 · see citing works

Interaction-Based Trajectory Prediction of Surrounding Vehicles with Driving Maneuvers Recognition

Ren, H., Zhou, G., Zhang, H., Qi, Z., & Zhao, Y. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-0479-2_71

Research on 3-D Trajectory Prediction

Dong, Y., Sun, Y., & Li, M. (2015) · Advances in computer science research · doi:10.2991/isci-15.2015.12