Title :
On the stability of fuzzy control rulebase for a nonlinear process
Author :
Farinwata, Shehu S. ; Vachtsevanos, George
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
An input-output stability analysis is summarized for a nearly linear plant. In the stability analysis, the implicit equilibrium states are studied, instead of the zero equilibrium state of an unforced system, in the classical sense. It is assumed that the nonlinear process model is available either for analysis or for design. A nearly-linear assumption is verified for a class of physical process set-point control processes. This is essentially the method of diminishing nonlinearity. The stability requirements are verified analytically, where possible or via simulation
Keywords :
fuzzy control; intelligent control; nonlinear control systems; stability; diminishing nonlinearity; fuzzy control rulebase; implicit equilibrium states; input-output stability analysis; nearly-linear assumption; nonlinear process; physical process set-point control processes; stability requirements; Analytical models; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Monitoring; Nonlinear control systems; Process control; Stability analysis; State-space methods;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325392
