Self-optimizing Fuzzy Controller for Nonlinear System with Constraints
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)（2011）
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.
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Key words
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,Constraint,Fuzzy control,Nonlinear,Optimizing
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