Parameter optimization of simple adaptive control via differential evolution

This paper deals with a parameter optimization problem of adjusting laws of simple adaptive control (SAC). SAC adjust their gains automatically, and thus the control system can be stable and can obtain a good control performance after a sufficient time. Although the control performance in a transient state depends on the parameter of adjusting laws, its decision method has not been proposed. For this problem, in the case of that a nominal model of plant is known, Differential Evolution (DE) is applied. Finally, we show a numerical experiment to confirm the effectiveness of the method.