Improved model-free H∞ control for batch processes via off-policy 2D game Q-learning
From MaRDI portal
Publication:6076583
DOI10.1080/00207179.2022.2097957zbMath1526.93042MaRDI QIDQ6076583
Loo Hay Lee, Xingwei Wang, Huiyuan Shi, Hanbin Kuang, Unnamed Author, Min Huang
Publication date: 17 October 2023
Published in: International Journal of Control (Search for Journal in Brave)
Noncooperative games (91A10) (H^infty)-control (93B36) Rationality and learning in game theory (91A26)
Cites Work
- Unnamed Item
- \(\mathrm{H}_\infty\) control of linear discrete-time systems: off-policy reinforcement learning
- Model-free \(H_{\infty }\) control design for unknown linear discrete-time systems via Q-learning with LMI
- Multi-player non-zero-sum games: online adaptive learning solution of coupled Hamilton-Jacobi equations
- Model-free \(Q\)-learning designs for linear discrete-time zero-sum games with application to \(H^\infty\) control
- Output feedback Q-learning for discrete-time linear zero-sum games with application to the \(H_\infty\) control
- Two-dimensional delay compensation based iterative learning control scheme for batch processes with both input and state delays
- New Minmax Linear Quadratic Fault-Tolerant Tracking Control for Batch Processes
- The discrete-time Riccati equation related to the H/sub ∞/ control problem
- $H_{\infty}$ based anti-windup controller for two-dimensional discrete delayed systems in presence of actuator saturation
- \(H^ \infty\)-optimal control and related minimax design problems. A dynamic game approach.
- Robust optimal tracking control for multiplayer systems by off‐policy Q‐learning approach
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