Command filtered adaptive neural tracking control of uncertain nonlinear time-delay systems with asymmetric time-varying full state constraints and actuator saturation

This article investigates the command filtered adaptive neural tracking control for uncertain nonlinear time-delay systems subject to asymmetric time-varying full state constraints and actuator sat...

[1]  Chunxiao Wang,et al.  Tracking control for strict-feedback nonlinear systems with time-varying full state constraints , 2018, Trans. Inst. Meas. Control.

[2]  Chih-Hong Lin.  Adaptive nonlinear backstepping control using mended recurrent Romanovski polynomials neural network and mended particle swarm optimization for switched reluctance motor drive system , 2019 .

[3]  William T. Baumann,et al.  Nonlinear analysis of time-delay position feedback control of container cranes , 2008 .

[4]  Changyin Sun,et al.  Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[5]  Fuad E. Alsaadi,et al.  Adaptive Backstepping Control Design for Uncertain Non-smooth Strictfeedback Nonlinear Systems with Time-varying Delays , 2019, International Journal of Control, Automation and Systems.

[6]  Chih‐Hong Lin.  Integral backstepping control with RRFNN and MPSO of LPMSM drive system , 2020, J. Syst. Control. Eng..

[7]  Rui Zhang,et al.  A neural approximation-based novel back-stepping control scheme for air-breathing hypersonic vehicles with uncertain parameters , 2016, J. Syst. Control. Eng..

[8]  Xudong Zhao,et al.  Neural-network-based tracking Control for a Class of time-delay nonlinear systems with unmodeled dynamics , 2020, Neurocomputing.

[9]  Keng Peng Tee,et al.  Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function , 2010, IEEE Transactions on Neural Networks.

[10]  Yu-Qun Han,et al.  Adaptive tracking control for a class of stochastic non‐linear systems with input saturation constraint using multi‐dimensional Taylor network , 2020, IET Control Theory & Applications.

[11]  H. Min,et al.  Adaptive NN output-feedback control for stochastic time-delay nonlinear systems with unknown control coefficients and perturbations , 2016 .

[12]  Guohui Tian,et al.  Mechanical design and robust tracking control of a class of antagonistic variable stiffness actuators based on the equivalent nonlinear torsion springs , 2018, J. Syst. Control. Eng..

[13]  BuXiangwei,et al.  Neural-approximation-based robust adaptive control of flexible air-breathing hypersonic vehicles with parametric uncertainties and control input constraints , 2016 .

[14]  Huanqing Wang,et al.  Finite-Time Adaptive Fuzzy Command Filtered Backstepping Control for a Class of Nonlinear Systems , 2019, International Journal of Fuzzy Systems.

[15]  Anis Sellami,et al.  Adaptive sliding mode fault tolerant control design for uncertain nonlinear systems with multiplicative faults: Takagi–Sugeno fuzzy approach , 2020, J. Syst. Control. Eng..

[16]  Hongjing Liang,et al.  Adaptive dynamic surface control of nonaffine nonlinear system with time‐varying state constraints , 2019, International Journal of Robust and Nonlinear Control.

[17]  Dong-Juan Li,et al.  Adaptive Neural Tracking Control for Nonlinear Time-Delay Systems With Full State Constraints , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[18]  Ding Zhai,et al.  Observer-Based Adaptive Fuzzy Decentralized Control of Uncertain Large-Scale Nonlinear Systems with Full State Constraints , 2019, Int. J. Fuzzy Syst..

[19]  Yanchao Sun,et al.  Adaptive trajectory tracking algorithm of unmanned surface vessel based on anti-windup compensator with full-state constraints , 2020 .

[20]  Biao Huang,et al.  Optimal continuous-time state estimation for linear finite and infinite-dimensional chemical process systems with state constraints , 2015 .

[21]  Marios M. Polycarpou,et al.  Command filtered adaptive backstepping , 2010, Proceedings of the 2010 American Control Conference.

[22]  Jiaqi Huang,et al.  Neural-approximation-based robust adaptive control of flexible air-breathing hypersonic vehicles with parametric uncertainties and control input constraints , 2016, Inf. Sci..

[23]  Jiuxiang Dong,et al.  Adaptive neural network-based control of uncertain nonlinear systems with time-varying full-state constraints and input constraint , 2019, Neurocomputing.

[24]  Shengyuan Xu,et al.  Adaptive Output Feedback Control of Nonlinear Time-Delay Systems With Application to Chemical Reactor Systems , 2017, IEEE Transactions on Industrial Electronics.

[25]  Zhongke Shi,et al.  Online Recorded Data-Based Composite Neural Control of Strict-Feedback Systems With Application to Hypersonic Flight Dynamics , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[26]  Lu Qi,et al.  Barrier Lyapunov Function Based Adaptive Cross Backstepping Control for Nonlinear Systems with Time-varying Partial State Constraints , 2020 .

[27]  Wei Sun,et al.  Command filter-based finite-time adaptive fuzzy control for nonlinear systems with uncertain disturbance , 2019, J. Frankl. Inst..

[28]  Xu Zhang,et al.  Adaptive backstepping-based tracking control design for nonlinear active suspension system with parameter uncertainties and safety constraints. , 2019, ISA transactions.

[29]  Jing Guo,et al.  Three-dimensional integrated guidance and control for strap-down missiles considering seeker’s field-of-view angle constraint , 2020 .

[30]  Yan-Jun Liu,et al.  Neural Network Controller Design for a Class of Nonlinear Delayed Systems With Time-Varying Full-State Constraints , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[31]  Cong Wang,et al.  Learning from neural control , 2006, IEEE Transactions on Neural Networks.

[32]  Bing Chen,et al.  Neural networks-based command filtering control of nonlinear systems with uncertain disturbance , 2018, Inf. Sci..

[33]  Rui Zhang,et al.  Minimal-learning-parameter based simplified adaptive neural back-stepping control of flexible air-breathing hypersonic vehicles without virtual controllers , 2016, Neurocomputing.

[34]  Mrdjan Jankovic,et al.  Control Lyapunov-Razumikhin functions and robust stabilization of time delay systems , 2001, IEEE Trans. Autom. Control..

[35]  Chunsheng Liu,et al.  Distributed Fuzzy Adaptive Backstepping Optimal Control for Nonlinear Multimissile Guidance Systems With Input Saturation , 2019, IEEE Transactions on Fuzzy Systems.

[36]  Francis Eng Hock Tay,et al.  Barrier Lyapunov Functions for the control of output-constrained nonlinear systems , 2009, Autom..

[37]  Jialu Du,et al.  Command filtered robust adaptive NN control for a class of uncertain strict-feedback nonlinear systems under input saturation , 2018, J. Frankl. Inst..

[38]  Junwei Lu,et al.  An improved adaptive neural dynamic surface control for pure-feedback systems with full state constraints and disturbance , 2019, Appl. Math. Comput..

[39]  Danyang Liu,et al.  Adaptive neural network based position tracking control for Dual-master/Single-slave teleoperation system under communication constant time delays. , 2019, ISA transactions.

[40]  C. L. Philip Chen,et al.  Event-Triggered Adaptive Fuzzy Control for Uncertain Strict-Feedback Nonlinear Systems With Guaranteed Transient Performance , 2019, IEEE Transactions on Fuzzy Systems.

[41]  Xudong Zhao,et al.  Adaptive Neural Backstepping Control Design for A Class of Nonsmooth Nonlinear Systems , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[42]  Qun Sun,et al.  Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems with Full-State Constraints , 2018, Int. J. Fuzzy Syst..

[43]  Xu Li,et al.  Dynamic surface method–based adaptive backstepping control for the permanent magnet synchronous motor on parameter identification , 2019, J. Syst. Control. Eng..

[44]  Peng Shi,et al.  Finite-time command filtered backstepping control for a class of nonlinear systems , 2018, Autom..

[45]  Dong-Juan Li,et al.  Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients , 2018, Autom..

[46]  Tzuu-Hseng S. Li,et al.  Feedback linearization and feedforward neural network control with application to twin rotor mechanism , 2018 .

[47]  Lin Zhao,et al.  Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems , 2019, Autom..

[48]  Zhijun Li,et al.  Design and Adaptive Control for an Upper Limb Robotic Exoskeleton in Presence of Input Saturation , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[49]  Jiuxiang Dong,et al.  Adaptive neural network tracking control for switched uncertain non-linear systems with actuator failures and time-varying delays , 2019 .

[50]  Bing Chen,et al.  Fuzzy-Approximation-Based Adaptive Control of Strict-Feedback Nonlinear Systems With Time Delays , 2010, IEEE Transactions on Fuzzy Systems.

[51]  Keng Peng Tee,et al.  Approximation-based control of nonlinear MIMO time-delay systems , 2007, Autom..

[52]  Vladimir L. Kharitonov,et al.  Lyapunov-Krasovskii approach to the robust stability analysis of time-delay systems , 2003, Autom..

[53]  Jinde Cao,et al.  Neuro-adaptive consensus strategy for a class of nonlinear time-delay multi-agent systems with an unmeasurable high-dimensional leader , 2019 .

[54]  Shen Zhang,et al.  Finite-time backstepping control with command filter for a class of nonlinear systems with parametric uncertainties , 2020, Trans. Inst. Meas. Control.

[55]  Gang Feng,et al.  Robust controller design of a class of nonlinear time delay systems via backstepping method , 2008, Autom..

[56]  Oscar R. Gonzalez,et al.  Backstepping-based control methodology for aircraft roll dynamics , 2020, J. Syst. Control. Eng..

[57]  Lei Liu,et al.  Adaptive Neural Network Learning Controller Design for a Class of Nonlinear Systems With Time-Varying State Constraints , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[58]  Dezhi Xu,et al.  Adaptive Neural Fault-Tolerant Control for the Yaw Control of UAV Helicopters with Input Saturation and Full-State Constraints , 2020, Applied Sciences.