Robust optimal tracking control for multiplayer systems by off‐policy Q‐learning approach

DOI10.1002/RNC.5263zbMath1525.93053OpenAlexW3103939126MaRDI QIDQ6083764

Unnamed Author, Jiangtao Cao, Jinna Li, Zhenfei Xiao

Publication date: 31 October 2023

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.5263

zbMATH Keywords

robust tracking controlgame theoryoutput regulationadaptive dynamic programmingoff-policy Q-learning

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Cooperative games (91A12) Applications of game theory (91A80) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)

Related Items (8)

Model-free finite-horizon optimal tracking control of discrete-time linear systems ⋮ Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics ⋮ Heterogeneous multi-player imitation learning ⋮ Modified general policy iteration based adaptive dynamic programming for unknown discrete‐time linear systems ⋮ Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems ⋮ Improved model-free H∞ control for batch processes via off-policy 2D game Q-learning ⋮ Improved value iteration for nonlinear tracking control with accelerated learning ⋮ On policy iteration-based discounted optimal control

Cites Work

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