A design of neural-net based controllers tuned by a genetic algorithm

摘要

In this paper, a design scheme of neural-net based PID controllers is discussed, whose weights are tuned by a genetic algorithm(GA) Here, one of real number GAs is employed. Introducing the GA into the neural-net based PID controller enables us to obtain the optimal control performance even for nonlinear systems.