Adaptive fuzzy output feedback control for partial state constrained nonlinear pure feedback systems
type: Item
instance of: scholarly article
title: Adaptive fuzzy output feedback control for partial state constrained nonlinear pure feedback systems
zbMATH Open document ID: 1427.93216
DOI: 10.1155/2018/9624938
author: You Wu
author: Liping Wang
author: Weiwei Sun
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: The adaptive fuzzy output feedback control problem for a class of pure feedback systems with partial state constraints is addressed in this paper. The fuzzy state observers are designed to estimate the unmeasured state while the fuzzy logic systems are used to approximate the unknown nonlinear functions. The proposed adaptive fuzzy output feedback controller can guarantee that the partial state constraints are not violated, and all closed-loop signals remain bounded by use of Barrier Lyapunov Functions (BLFs). A numerical example is presented to illustrate the effectiveness of the results in this paper.
Mathematics Subject Classification ID: 93D21
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C40
zbMATH DE Number: 7019800
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/9624938
OpenAlex ID: W2884621335
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Wikidata QID: Q129411979
description: scientific article; zbMATH DE number 7019800