LAUSR

Abstract The paper deals with the development of a new control design methodology for nonlinear systems with multiple inputs, based on the hybrid approach using fuzzy logic and genetic algorithms. The proposed hybrid control methodology based on adaptive switching uses the principle of control parameters adaptation for all operating points of a nonlinear system. The control strategy is realized by a fuzzy controller and parameter optimization for different operating points using a genetic algorithm. Theoretical results are verified on a case study dealing with control design for a nonlinear physical model.