Adaptive critic control with robust stabilization for uncertain nonlinear systems
type: Item
instance of: scholarly article
title: Adaptive critic control with robust stabilization for uncertain nonlinear systems
zbMATH Open document ID: 1407.93006
DOI: 10.1007/978-981-13-1253-3
author: Ding Wang
author: Chaoxu Mu
published in: Studies in Systems, Decision and Control
publication date: 2018-10-12T00:00:00Z
review text: The book presents results on learning-based robust adaptive critic control theory, including self-learning robust stabilization, data-driven robust optimal control, adaptive trajectory tracking, adaptive \(H_\infty\) control design. A general analysis for adaptive critic systems in terms of stability, convergence, optimality, and robustness under uncertain environment is covered. Some results are provided to verify the effectiveness of adaptive critic-based robust and tracking control methods for power systems.
Mathematics Subject Classification ID: 93-02
Mathematics Subject Classification ID: 93D09
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C41
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93B36
Mathematics Subject Classification ID: 93C65
Mathematics Subject Classification ID: 49N90
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6953906
zbMATH Keywords: learning-based robust adaptive critic control
zbMATH Keywords: uncertain nonlinear systems
zbMATH Keywords: stability
zbMATH Keywords: optimality
zbMATH Keywords: neural network
zbMATH Keywords: power systems
reviewed by: Alexandra Rodkina
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-981-13-1253-3
OpenAlex ID: W2887138972
description: scientific article; zbMATH DE number 6953906