METHOD AND DEVICE FOR SELF-ORGANIZING FOR OPTIMALLY CONTROL NONLINEAR PHYSICAL CONTROLLED SYSTEM

PROBLEM TO BE SOLVED: To optimally control a complicated and nonlinear controlled system by obtaining difference between the time differentiation of entropy inside of the controlled system and the time differential of entropy to be given to the controlled system to evolve a control rule by a genetic algorithm with the difference as an evaluation function. SOLUTION: An arithmetic unit 2a calculates the time differential dSu/dt of the entropy generation of a plant 1 and the time differential dSc/dt of the entropy generation of the PID controller 4 of a plant 1 and outputs the entropy generated quantity dS/dt of the whole system being the difference of entropy generation. A controller 2b evolves input information K to the fuzzy neural circuit network 3a of a fuzzy logic hierarchical part 3 by genetic algorithm to reduce the difference between the time differential dSu/dt of the entropy generation of the plant 1 and the time differential dSc/dt of the entropy generation of the PID controller 4 with the entropy generating quantity dS/dt of the whole system as the evaluation function.