Title :
Self-optimizing fuzzy controller for nonlinear system with constraints
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
This paper presents a self-optimizing fuzzy controller for nonlinear dynamic plants whose model (including non-mathematical models and expert knowledge) is unknown. A new fuzzy algorithm is presented to improve control performances. Furthermore, a global meta-heuristic algorithm is presented to optimize the fuzzy parameters and to satisfy some nonlinear constraints. The numerical simulated experiments show the good performance on a time-varying parameters nonlinear plant.
Keywords :
constraint theory; fuzzy control; nonlinear dynamical systems; self-adjusting systems; time-varying systems; global meta-heuristic algorithm; nonlinear constraints; nonlinear dynamic plants; nonlinear system; self-optimizing fuzzy controller; time-varying parameters; Conferences; Control systems; Fuzzy control; Genetic algorithms; Humans; Nonlinear systems; Optimization; Constraint; Fuzzy control; Nonlinear; Optimizing;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019558
