Safe Intermittent Reinforcement Learning for Nonlinear Systems

2019 IEEE 58th Conference on Decision and Control (CDC) ◽

10.1109/cdc40024.2019.9030210 ◽

2019 ◽

Author(s):

Yongliang Yang ◽

Kyriakos G. Vamvoudakis ◽

Hamidreza Modares ◽

Wei He ◽

Yixin Yin ◽

...

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Intermittent Reinforcement

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A Reinforcement-Learning Neural Network for the Control of Nonlinear Systems

1991 American Control Conference ◽

10.23919/acc.1991.4791313 ◽

1991 ◽

Author(s):

Kevin L. Moore

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Nonlinear Systems

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Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3045087 ◽

2021 ◽

pp. 1-10

Author(s):

Tao Bian ◽

Zhong-Ping Jiang

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Value Iteration ◽

Adaptive Optimal Control ◽

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A set-based model-free reinforcement learning design technique for nonlinear systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.09.242 ◽

2018 ◽

Vol 51 (18) ◽

pp. 37-42

Author(s):

Martin Guay ◽

Khalid Tourkey Atta

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Learning Design ◽

Design Technique ◽

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Control of Chaotic Nonlinear Systems Using RBF Network with Reinforcement Learning

2020 8th International Conference on Orange Technology (ICOT) ◽

10.1109/icot51877.2020.9468718 ◽

2020 ◽

Author(s):

Wei Chun-Cheng ◽

Hung Lon-Chen

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

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Reinforcement-Learning-Based Controller Design for Nonaffine Nonlinear Systems

Advances in Neural Networks – ISNN 2014 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-12436-0_7 ◽

2014 ◽

pp. 51-58

Author(s):

Xiong Yang ◽

Derong Liu ◽

Qinglai Wei

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Controller Design ◽

Nonaffine Nonlinear Systems

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Reinforcement Learning-Based Adaptive Output-Feedback Control for Discrete-Time Strict-Feedback Nonlinear Systems

10.1007/978-981-16-5912-6_57 ◽

2021 ◽

pp. 774-787

Author(s):

Kunning Wang ◽

Longwang Huang ◽

Min Wang

Keyword(s):

Reinforcement Learning ◽

Feedback Control ◽

Nonlinear Systems ◽

Discrete Time ◽

Output Feedback ◽

Output Feedback Control ◽

Adaptive Output Feedback Control ◽

Strict Feedback

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Multiple Environment Integral Reinforcement Learning-Based Fault-Tolerant Control for Affine Nonlinear Systems

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2018.2889679 ◽

2019 ◽

pp. 1-16 ◽

Author(s):

Hong-Jun Ma ◽

Lin-Xing Xu ◽

Guang-Hong Yang

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Affine Nonlinear Systems

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Reinforcement Learning-Based Control for a Class of Nonlinear Systems with unknown control directions

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865292 ◽

2019 ◽

Author(s):

Xiaoling Song ◽

Miao Huang ◽

Gang Wen ◽

Longhua Ma ◽

Jiaqing Yao ◽

...

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Unknown Control Directions ◽

Unknown Control

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Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning

International Journal of Systems Science ◽

10.1080/00207721.2020.1797223 ◽

2020 ◽

Vol 51 (13) ◽

pp. 2429-2440

Author(s):

Jingang Zhao ◽

Minggang Gan

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Finite Horizon ◽

Uncertain Nonlinear Systems

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Event-Triggered Reinforcement Learning-Based Adaptive Tracking Control for Completely Unknown Continuous-Time Nonlinear Systems

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2903108 ◽

2020 ◽

Vol 50 (7) ◽

pp. 3231-3242 ◽

Author(s):

Xinxin Guo ◽

Weisheng Yan ◽

Rongxin Cui

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Tracking Control ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Event Triggered

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