Sliding mode observer for systems with mismatched parametric uncertainties

Author

Andrade Da Silva, J.M. ; Edwards, Chris

Author_Institution

Dept. of Eng., Univ. of Leicester, Leicester, UK

fYear

2010

fDate

26-28 June 2010

Firstpage

178

Lastpage

183

Abstract

A sliding mode observer (SMO) analysis and synthesis framework for systems with mismatched parametric uncertainties is proposed. Stability of the uncertain state estimation error system is addressed using the concept of uniform ultimate bounded stability, also known as practical stability. The design methodology involves linear matrix inequality methods and employs a polytopic description for designing the gain matrices of the SMO. A numerical example illustrates the design methodology and its effectiveness.

Keywords

control system analysis; control system synthesis; linear matrix inequalities; observers; stability; variable structure systems; SMO analysis; SMO synthesis; gain matrices; linear matrix inequality methods; mismatched parametric uncertainties; polytopic description; practical stability; sliding mode observer; state estimation error system; uniform ultimate bounded stability; Design methodology; Fault detection; Linear matrix inequalities; Linear systems; Observers; Riccati equations; Signal synthesis; Stability; State estimation; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Variable Structure Systems (VSS), 2010 11th International Workshop on

Conference_Location

Mexico City

Print_ISBN

978-1-4244-5829-5

Electronic_ISBN

978-1-4244-5830-1

Type

conf

DOI

10.1109/VSS.2010.5544727

Filename

5544727