Title :
Simultaneous fuzzy observation and control
Author_Institution :
Lab. d´Autom. des Arts et Metiers, Paris, France
Abstract :
In this paper, we present a fuzzy observer based fuzzy control scheme for nonlinear processes. The observer and the controller are built by "fuzzily interconnecting" local linear Lu-enberger observers and linear controllers. The approach uses techniques of robust control along with piecewise quadratic lyapunov functions, to show the global stability of observer + controller + process. In this approach we do not require linearity of the process with respect to the inputs, generally assumed in "standard" nonlinear theory [11]. The separation principle1 is shown to be satisfied. The approach is illustrated by an example.
Keywords :
Lyapunov methods; control system synthesis; fuzzy control; linear systems; nonlinear control systems; observers; robust control; fuzzy control; fuzzy observer; global stability; linear Luenberger observer; linear controller; nonlinear process; piecewise quadratic Lyapunov function; robust control; separation principle; Lyapunov methods; Observers; Process control; Stability analysis; Uncertainty; Upper bound; Vectors; Fuzzy controller; Fuzzy observer; Nonlinear systems; Separation principle;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2