Evolutionary computing for optimizing type-2 fuzzy systems in intelligent control of non-linear dynamic plants

We describe in this paper the use of evolutionary computing techniques for optimizing the design of intelligent controllers. Genetic algorithms can be used to optimize the topology of a fuzzy system for control. We are considering type-2 fuzzy logic for intelligent control and as a consequence the task of designing the fuzzy system is more difficult. We use hierarchical genetic algorithms because the problem of fuzzy system optimization requires a hierarchical chromosome for representing the information about membership functions and parameters.