Adaptive Q-Learning Based Model-Free H Control of Continuous-Time Nonlinear Systems: Theory and Application

Although model based <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> control scheme for nonlinear continuous-time (CT) systems with unknown system dynamics has been extensively studied, model-free <inline-formula><tex-math...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence Jg. 9; H. 2; S. 1143 - 1152
Hauptverfasser:	Zhao, Jun, Lv, Yongfeng, Wang, Zhangu, Zhao, Ziliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2025
Schlagworte:	<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> H_{\infty }</tex-math> </inline-formula> </named-content> control Artificial neural networks Control systems Cost function Heuristic algorithms learning law Nonlinear systems Q-learning Reinforcement learning System dynamics
ISSN:	2471-285X, 2471-285X
Online-Zugang:	Volltext
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