Title :
On the Sugeno-type fuzzy observers
Author_Institution :
Lab. d´´Autom. des Arts et Metiers, Pinel, France
Abstract :
In this paper, we present a fuzzy observer for nonlinear processes. It is obtained by “fuzzily interconnecting” local linear Luneburger observers. The approach uses techniques of robust and particularly quadratic stabilization to show the global quadratic stability of the fuzzy observer. In this approach we do not assume the linearity of the nonlinear process with respect to the inputs, which generally assumed for the conventional nonlinear observers. The approach is illustrated by an example
Keywords :
fuzzy set theory; nonlinear systems; observers; stability; Sugeno-type fuzzy observers; global quadratic stability; local linear Luneburger observer fuzzy interconnection; nonlinear process; nonlinear processes; robust stabilization; Art; Fuzzy control; Linearity; Observers; Process control; Robust stability; State estimation; State-space methods; Takagi-Sugeno model; Uncertainty;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.833307
