Designing robust sliding hyperplanes for parametric uncertain systems: A Riccati approach
type: Item
instance of: scholarly article
title: Designing robust sliding hyperplanes for parametric uncertain systems: A Riccati approach
zbMATH Open document ID: 0955.93005
DOI: 10.1016/S0005-1098(00)00014-5
author: Youngjin Park
author: Shi-Hwan Oh
author: Kyungsoo Kim
published in: Automatica
publication date: 2001-02-16T00:00:00Z
review text: An approach to design robust sliding hyperplanes in the presence of mismatched parametric uncertainty is proposed. This approach is motivated by Lyapunov function approaches. The sliding hyperplanes are constructed using a Riccati inequality, which ensures quadratic stabilizability. The characteristics of quadratic stabilization such as robustness to mismatched uncertainty, robust performance and scales for the structured uncertainty are taken into account by the proposed sliding mode design. An illustrative example is also presented.
Mathematics Subject Classification ID: 93B12
Mathematics Subject Classification ID: 93B35
zbMATH DE Number: 1472424
zbMATH Keywords: sliding mode control
zbMATH Keywords: quadratic stability
zbMATH Keywords: mismatched uncertainty
reviewed by: Mikhail Krastanov
describes a project that uses: LMI toolbox
MaRDI profile type: Publication
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full work available at URL: s0005-1098(00)00014-5
OpenAlex ID: W2090526487
Wikidata QID: Q127199415
description: scientific article; zbMATH DE number 1472424