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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Online reinforcement learning control of unknown nonaffine nonlinear discrete time systems

2007 46th IEEE Conference on Decision and Control ◽

10.1109/cdc.2007.4434959 ◽

2007 ◽

Author(s):

Qinmin Yang ◽

S. Jagannathan

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Learning Control ◽

Discrete Time Systems ◽

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Output Feedback Controller for a Class of Unknown Nonlinear Discrete Time Systems Using Fuzzy Rules Emulated Networks and Reinforcement Learning

Fuzzy Information and Engineering ◽

10.1080/16168658.2021.1943887 ◽

2021 ◽

pp. 1-23

Author(s):

C. Treesatayapun

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Output Feedback ◽

Feedback Controller ◽

Fuzzy Rules ◽

Output Feedback Controller ◽

Discrete Time Systems ◽

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Networked Iterative Learning Control for Nonlinear Switched Discrete-time Systems with Random Measurement Packet Losses

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2018.8516018 ◽

2018 ◽

Author(s):

Ang-Ji Lin ◽

Shu-Ting Sun ◽

Xiao-Dong Li

Keyword(s):

Discrete Time ◽

Iterative Learning Control ◽

Learning Control ◽

Iterative Learning ◽

Packet Losses ◽

Random Measurement ◽

Discrete Time Systems ◽

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Decentralized Iterative Learning Control for Large-Scale Interconnected Non-Affine Nonlinear Discrete-Time Systems

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2018.8515995 ◽

2018 ◽

Author(s):

Lili Du ◽

Qin Fu

Keyword(s):

Discrete Time ◽

Iterative Learning Control ◽

Large Scale ◽

Learning Control ◽

Iterative Learning ◽

Discrete Time Systems ◽

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Iterative learning control based on the gradient method for linear discrete-time systems

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)56806-8 ◽

1999 ◽

Vol 32 (2) ◽

pp. 4729-4734

Author(s):

Takuya Sogo ◽

Norihiko Adachi

Keyword(s):

Discrete Time ◽

Gradient Method ◽

Iterative Learning Control ◽

Learning Control ◽

Iterative Learning ◽

Discrete Time Systems ◽

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Optimal Iterative Learning Control for Nonlinear Discrete-Time Systems

Advances in Intelligent and Soft Computing - Software Engineering and Knowledge Engineering: Theory and Practice ◽

10.1007/978-3-642-25349-2_10 ◽

2012 ◽

pp. 69-75

Author(s):

Hong-wei Xu

Keyword(s):

Discrete Time ◽

Iterative Learning Control ◽

Learning Control ◽

Iterative Learning ◽

Discrete Time Systems ◽

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Discrete Fourier transform based frequency characteristics of iterative learning control for linear discrete-time systems

Advances in Difference Equations ◽

10.1186/s13662-019-1998-3 ◽

2019 ◽

Vol 2019 (1) ◽

Author(s):

Xiaohui Li ◽

Xiaoe Ruan

Keyword(s):

Fourier Transform ◽

Discrete Fourier Transform ◽

Discrete Time ◽

Iterative Learning Control ◽

Learning Control ◽

Frequency Characteristics ◽

Iterative Learning ◽

Discrete Time Systems ◽

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Online optimal and adaptive integral tracking control for varying discrete‐time systems using reinforcement learning

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3115 ◽

2020 ◽

Vol 34 (8) ◽

pp. 971-991

Author(s):

Ibrahim Sanusi ◽

Andrew Mills ◽

Tony Dodd ◽

George Konstantopoulos

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Tracking Control ◽

Discrete Time Systems ◽

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Reinforcement Learning-Based Control for Nonlinear Discrete-Time Systems with Unknown Control Directions and Control Constraints

Neurocomputing ◽

10.1016/j.neucom.2020.03.061 ◽

2020 ◽

Vol 402 ◽

pp. 50-65

Author(s):

Miao Huang ◽

Cong Liu ◽

Xiaoqi He ◽

Longhua Ma ◽

Zheming Lu ◽

...

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Control Constraints ◽

Unknown Control Directions ◽

Discrete Time Systems ◽

Unknown Control ◽

And Control ◽

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