DocumentCode
3007259
Title
An LMI approach for designing sliding mode observers
Author
Tan, Chee Pin ; Edwards, Christopher
Author_Institution
Dept. of Eng., Leicester Univ., UK
Volume
3
fYear
2000
fDate
2000
Firstpage
2587
Abstract
Presents a method to design sliding mode observers for a class of uncertain systems using linear matrix inequalities. The objective is to exploit the degrees of freedom available in the design which have hitherto been ignored because of the lack of a tractable solution framework. The relationship between the linear component of the sliding mode observer and a particular sub-optimal observer arising from classical linear quadratic Gaussian theory is demonstrated. This helps show how the design weighting matrices inherent in the method may be chosen in practice
Keywords
Lyapunov matrix equations; linear quadratic Gaussian control; observers; poles and zeros; time-varying systems; uncertain systems; variable structure systems; LMI approach; classical linear quadratic Gaussian theory; design weighting matrices; linear matrix inequalities; sliding mode observers; suboptimal observer; Design engineering; Design methodology; Drives; Estimation error; Linear matrix inequalities; Observers; Robustness; Stability; State estimation; Uncertain systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2000.914193
Filename
914193
Link To Document