Reinforcement-Learning-Based Online Learning Control for Discrete-Time Unknown Nonaffine Nonlinear Systems

Frontiers of Intelligent Control and Information Processing ◽

10.1142/9789814616881_0002 ◽

2014 ◽

pp. 49-81

Author(s):

Xiong Yang ◽

Derong Liu ◽

Qinglai Wei ◽

Ding Wang

Keyword(s):

Online Learning ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Discrete Time ◽

Learning Control ◽

Nonaffine Nonlinear Systems

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Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning

Neural Networks ◽

10.1016/j.neunet.2014.03.008 ◽

2014 ◽

Vol 55 ◽

pp. 30-41 ◽

Author(s):

Xiong Yang ◽

Derong Liu ◽

Ding Wang ◽

Qinglai Wei

Keyword(s):

Online Learning ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Discrete Time ◽

Learning Control ◽

Nonaffine Nonlinear Systems

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Adaptive iterative learning control for a class of MIMO discrete-time nonlinear systems

2016 11th International Conference on Computer Science & Education (ICCSE) ◽

10.1109/iccse.2016.7581690 ◽

2016 ◽

Author(s):

Baobin Liu ◽

Wei Zhou

Keyword(s):

Nonlinear Systems ◽

Discrete Time ◽

Iterative Learning Control ◽

Learning Control ◽

Iterative Learning ◽

Adaptive Iterative Learning Control

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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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Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2844165 ◽

2019 ◽

Vol 30 (1) ◽

pp. 295-305 ◽

Author(s):

Yan-Jun Liu ◽

Shu Li ◽

Shaocheng Tong ◽

C. L. Philip Chen

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Dead Zone ◽

Learning Control ◽

Discrete Time Systems ◽

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A Novel Reinforcement Learning Control for a class of Strict-feedback Discrete-time Systems via Multi-Gradient Recursive

10.1109/spac53836.2021.9540001 ◽

2021 ◽

Author(s):

Weiwei Bai ◽

Tieshan Li ◽

Yue Long

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Learning Control ◽

Discrete Time Systems ◽

Time Systems ◽

Strict Feedback

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A Discrete-Time Stochastic Iterative Learning Control Algorithm for a Class of Nonlinear Systems

Control and Intelligent Systems ◽

10.2316/journal.201.2005.2.201-1346 ◽

2005 ◽

Vol 33 (2) ◽

Author(s):

S.S. Saab

Keyword(s):

Nonlinear Systems ◽

Discrete Time ◽

Iterative Learning Control ◽

Control Algorithm ◽

Learning Control ◽

Iterative Learning

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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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Direct adaptive control for a class of discrete-time unknown nonaffine nonlinear systems using neural networks

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.3181 ◽

2014 ◽

Vol 25 (12) ◽

pp. 1844-1861 ◽

Author(s):

Xiong Yang ◽

Derong Liu ◽

Qinglai Wei ◽

Ding Wang

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Discrete Time ◽

Direct Adaptive Control ◽

Nonaffine Nonlinear Systems

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An Actor-Critic Reinforcement Learning Control Approach for Discrete-Time Linear System with Uncertainty

2018 International Automatic Control Conference (CACS) ◽

10.1109/cacs.2018.8606740 ◽

2018 ◽

Author(s):

Hsin-Chang Chen ◽

Yu-Chen Lin ◽

Yu-Heng Chang

Keyword(s):

Reinforcement Learning ◽

Linear System ◽

Discrete Time ◽

Learning Control ◽

Control Approach ◽

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RBFNN-Based Data-Driven Predictive Iterative Learning Control for Nonaffine Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2919441 ◽

2020 ◽

Vol 31 (4) ◽

pp. 1170-1182 ◽

Author(s):

Qiongxia Yu ◽

Zhongsheng Hou ◽

Xuhui Bu ◽

Qiongfang Yu

Keyword(s):

Nonlinear Systems ◽

Iterative Learning Control ◽

Learning Control ◽

Iterative Learning ◽

Data Driven ◽

Nonaffine Nonlinear Systems

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