Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data

H ∞ control is a powerful method to solve the disturbance attenuation problems that occur in some control systems. The design of such controllers relies on solving the zero-sum game (ZSG). But in practical applications, the exact dynamics is mostly unknown. Identification of dynamics also produces e...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 28; H. 3; S. 714 - 725
Hauptverfasser:	Zhu, Yuanheng, Zhao, Dongbin, Li, Xiangjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H ∞ control Adaptive algorithms Adaptive control Adaptive dynamic programming (ADP) Algorithm design and analysis Approximation algorithms Artificial neural networks Attenuation Computer & video games Computer simulation Control systems Control systems design Disturbance Dynamic programming Feasibility studies Game theory Games Gauss-Newton method H-infinity control Heuristic algorithms Internet Iterative methods Least squares method Mathematical model Neural networks Newton methods Optimization policy iteration (PI) Theoretical analysis Zero sum games zero-sum game (ZSG)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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