Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2011.2166384 ◽

2012 ◽

Vol 42 (2) ◽

pp. 377-390 ◽

Author(s):

Qinmin Yang ◽

S. Jagannathan

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Controller Design ◽

Discrete Time Systems ◽

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Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2015.2478885 ◽

2016 ◽

Vol 46 (5) ◽

pp. 611-622 ◽

Author(s):

Zhanshan Wang ◽

Lei Liu ◽

Huaguang Zhang ◽

Geyang Xiao

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Controller Design ◽

Fault Tolerant ◽

Learning Algorithm ◽

Discrete Time Systems ◽

Time Systems ◽

Reinforcement Learning Algorithm

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Online Reinforcement Learning-based Neural Network Controller Design for Affine Nonlinear Discrete-time Systems

2007 American Control Conference ◽

10.1109/acc.2007.4282709 ◽

2007 ◽

Author(s):

Qinmin Yang ◽

S. Jagannathan

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Discrete Time ◽

Controller Design ◽

Neural Network Controller ◽

Discrete Time Systems ◽

Network Controller ◽

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Reinforcement learning-based online adaptive controller design for a class of unknown nonlinear discrete-time systems with time delays

Neural Computing and Applications ◽

10.1007/s00521-018-3537-7 ◽

2018 ◽

Vol 30 (6) ◽

pp. 1733-1745 ◽

Author(s):

Yuling Liang ◽

Huaguang Zhang ◽

Geyang Xiao ◽

He Jiang

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Time Delays ◽

Controller Design ◽

Adaptive Controller ◽

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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Improved stability criterion and its applications in delayed controller design for discrete-time systems

10.1016/j.automatica.2008.04.017 ◽

2008 ◽

Vol 44 (11) ◽

pp. 2963-2967 ◽

Author(s):

Baoyong Zhang ◽

Shengyuan Xu ◽

Yun Zou

Keyword(s):

Discrete Time ◽

Stability Criterion ◽

Controller Design ◽

Discrete Time Systems ◽

Improved Stability ◽

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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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An LMI optimization approach to multiobjective controller design for discrete-time systems

Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304) ◽

10.1109/cdc.1999.827913 ◽

2003 ◽

Author(s):

M.C. de Oliveira ◽

J.C. Geromel ◽

J. Bernussou

Keyword(s):

Discrete Time ◽

Controller Design ◽

Optimization Approach ◽

Lmi Optimization ◽

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 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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