Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems
暂无分享,去创建一个
Derong Liu | Haibo He | Xiong Yang | Derong Liu | Haibo He | Xiong Yang
[1] K. Vamvoudakis. Event-triggered optimal adaptive control algorithm for continuous-time nonlinear systems , 2014, IEEE/CAA Journal of Automatica Sinica.
[2] Zhong-Ping Jiang,et al. Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming , 2016, Autom..
[3] Derong Liu,et al. Wavelet Basis Function Neural Networks for Sequential Learning , 2008, IEEE Transactions on Neural Networks.
[4] Derong Liu,et al. Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints , 2015, IEEE Transactions on Cybernetics.
[5] S. Jagannathan,et al. Optimal control of affine nonlinear continuous-time systems using an online Hamilton-Jacobi-Isaacs formulation , 2010, 49th IEEE Conference on Decision and Control (CDC).
[6] Yongming Li,et al. Adaptive output-feedback control design with prescribed performance for switched nonlinear systems , 2017, Autom..
[7] Derong Liu,et al. Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems , 2017 .
[8] Manish Sharma,et al. Wavelet Neural Network Observer Based Adaptive Tracking Control for a Class of Uncertain Nonlinear Delayed Systems Using Reinforcement Learning , 2012 .
[9] Qichao Zhang,et al. Event-Triggered $H_\infty $ Control for Continuous-Time Nonlinear System via Concurrent Learning , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[10] Jae Young Lee,et al. Integral Reinforcement Learning for Continuous-Time Input-Affine Nonlinear Systems With Simultaneous Invariant Explorations , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[11] Frank L. Lewis,et al. Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning , 2014, Autom..
[12] Huaguang Zhang,et al. Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[13] Changyin Sun,et al. A new self-learning optimal control laws for a class of discrete-time nonlinear systems based on ESN architecture , 2014, Science China Information Sciences.
[14] Warren B. Powell,et al. “Approximate dynamic programming: Solving the curses of dimensionality” by Warren B. Powell , 2007, Wiley Series in Probability and Statistics.
[15] Michael L. Littman,et al. Reinforcement learning improves behaviour from evaluative feedback , 2015, Nature.
[16] Huaguang Zhang,et al. Adaptive Dynamic Programming for a Class of Complex-Valued Nonlinear Systems , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[17] W. Rudin. Principles of mathematical analysis , 1964 .
[18] Manish Sharma,et al. Wavelet reduced order observer-based adaptive tracking control for a class of uncertain delayed non-linear systems subjected to actuator saturation using actor-critic architecture , 2013, Int. J. Autom. Control..
[19] Randal W. Beard,et al. Galerkin approximations of the generalized Hamilton-Jacobi-Bellman equation , 1997, Autom..
[20] Yoh-Han Pao,et al. Stochastic choice of basis functions in adaptive function approximation and the functional-link net , 1995, IEEE Trans. Neural Networks.
[21] Kurt Hornik,et al. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks , 1990, Neural Networks.
[22] Derong Liu,et al. Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems , 2016, IEEE Transactions on Cybernetics.
[23] Shaocheng Tong,et al. Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[24] Haibo He,et al. Improving the Critic Learning for Event-Based Nonlinear $H_{\infty }$ Control Design , 2017, IEEE Transactions on Cybernetics.
[25] Paulo Tabuada,et al. An introduction to event-triggered and self-triggered control , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[26] K. Narendra,et al. A New Adaptive Law for Robust Adaptation without Persistent Excitation , 1986, 1986 American Control Conference.
[27] G. Chowdhary,et al. A singular value maximizing data recording algorithm for concurrent learning , 2011, Proceedings of the 2011 American Control Conference.
[28] Tingwen Huang,et al. Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design , 2014, Autom..
[29] Haibo He,et al. Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming , 2017, IEEE Transactions on Industrial Electronics.
[30] Xiangnan Zhong,et al. An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States. , 2017 .
[31] Qichao Zhang,et al. Event-Triggered H ∞ Control for Continuous-Time Nonlinear System , 2015, ISNN.
[32] Haibo He,et al. Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[33] Avimanyu Sahoo,et al. Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[34] Ajay Verma,et al. Wavelet reduced order observer based adaptive tracking control for a class of uncertain nonlinear systems using reinforcement learning , 2013 .
[35] Shaocheng Tong,et al. Observer-Based Adaptive Fuzzy Decentralized Optimal Control Design for Strict-Feedback Nonlinear Large-Scale Systems , 2018, IEEE Transactions on Fuzzy Systems.
[36] Haibo He,et al. Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[37] Warren B. Powell,et al. Approximate Dynamic Programming - Solving the Curses of Dimensionality , 2007 .
[38] Derong Liu,et al. Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming , 2016, Neurocomputing.
[39] Shaocheng Tong,et al. Fuzzy Adaptive Decentralized Optimal Control for Strict Feedback Nonlinear Large-Scale Systems , 2018, IEEE Transactions on Cybernetics.
[40] Frank L. Lewis,et al. Reinforcement Learning and Approximate Dynamic Programming for Feedback Control , 2012 .
[41] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[42] Avimanyu Sahoo,et al. Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[43] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[44] Derong Liu,et al. On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear $H_{\infty}$ Control , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[45] Chaomin Luo,et al. Discrete-Time Nonzero-Sum Games for Multiplayer Using Policy-Iteration-Based Adaptive Dynamic Programming Algorithms , 2017, IEEE Transactions on Cybernetics.
[46] Frank L. Lewis,et al. Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem , 2009, 2009 International Joint Conference on Neural Networks.
[47] Warren E. Dixon,et al. Model-based reinforcement learning for infinite-horizon approximate optimal tracking , 2014, 53rd IEEE Conference on Decision and Control.
[48] Yu Liu,et al. Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming , 2017, IEEE/CAA Journal of Automatica Sinica.
[49] Shaocheng Tong,et al. Fuzzy Adaptive Control Design Strategy of Nonlinear Switched Large-Scale Systems , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.