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International Journal of Systems Science Volume 52, 2021 - Issue 15
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Regular papers

Optimal control for unknown mean-field discrete-time system based on Q-Learning

Yingying Gea College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People's Republic of ChinaCorrespondence[email protected]
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,
Xikui Liub College of Computer Science, Qufu Normal University, Rizhao, People's Republic of ChinaView further author information
&
Yan Lib College of Computer Science, Qufu Normal University, Rizhao, People's Republic of ChinaView further author information
Pages 3335-3349 | Received 22 Oct 2020, Accepted 07 May 2021, Published online: 20 May 2021

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Read on this site (2)

D. R. Sahu & Nitish Kumar Singh. (2024) p-Accelerated normal S-iterative learning control algorithm for linear discrete singular time-delay systems. International Journal of General Systems 53:1, pages 16-40.
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Changle Sun & Haitao Li. (2023) State-flipped control and Q-learning for finite horizon output tracking of Boolean control networks. International Journal of Systems Science 54:12, pages 2452-2464.
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Articles from other publishers (5)

Heng Zhang & Zhiguo Yan. (2024) Linear quadratic stochastic optimal control with state- and control-dependent noises: A deterministic data approach. Neurocomputing 575, pages 127269.
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Jakub Musial, Krzysztof Stebel, Jacek Czeczot, Pawel Nowak & Bogdan Gabrys. (2024) Application of self-improving Q-learning controller for a class of dynamical processes: Implementation aspects. Applied Soft Computing 152, pages 111250.
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Heng Zhang. (2023) An adaptive dynamic programming-based algorithm for infinite-horizon linear quadratic stochastic optimal control problems. Journal of Applied Mathematics and Computing.
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Jakub Musial, Krzysztof Stebel & Jacek Czeczot. (2022) Implementation aspects of Q-learning controller for a class of dynamical processes. Implementation aspects of Q-learning controller for a class of dynamical processes.
Zhe Chen, Wenqian Xue, Ning Li & Frank L. Lewis. (2021) Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems. International Journal of Robust and Nonlinear Control 32:1, pages 393-420.
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