Adaptive dynamic surface decentralized output feedback control for switched nonstrict feedback large-scale systems with unknown dead zones
type: Item
instance of: scholarly article
title: Adaptive dynamic surface decentralized output feedback control for switched nonstrict feedback large-scale systems with unknown dead zones
zbMATH Open document ID: 1459.93086
DOI: 10.1155/2020/3959806
author: Yanyan Li
published in: Mathematical Problems in Engineering
publication date: 2020-10-14T00:00:00Z
review text: Summary: This paper investigates a novel adaptive output feedback decentralized control scheme for switched nonstrict feedback large-scale systems with unknown dead zones. A decentralized linear state observer is designed to estimate the unmeasurable states of subsystems. The dead zone inverse technique is used to compensate the effect of the unknown dead zone. A variable separation approach is applied to deal with the nonstrict feedback problem. Moreover, dynamic surface control and minimal parameter learning technology are adopted to reduce the computation burden. The proof of stability and the arbitrary switching are obtained by the common Lyapunov method. Finally, simulation results are given to show the effectiveness of the proposed control scheme.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 7260959
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2020/3959806
OpenAlex ID: W3088973282
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description: scientific article; zbMATH DE number 7260959