Title :
An LMI approach for designing sliding mode observers
Author :
Tan, Chee Pin ; Edwards, Christopher
Author_Institution :
Dept. of Eng., Leicester Univ., UK
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;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.914193