Genetic algorithms based fuzzy controller for high order systems

Abstract This paper presents a fuzzy control algorithm for high order processes. The algorithm includes design of a basic fuzzy controller with its rule definition based on the qualitative reasoning in the phase plane and an incremental controller with the purpose to correspond with the order of the process. The genetic algorithms (GAs) are then utilized to the design and development for the fine tuning of the controller. Simulation results shown in the paper demonstrate the efficiency of this approach and the power of the GAs.

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