A Design of Neural-Net Based PID Controllers with Evolutionary Computation(Systems and Control)
PID control schemes have been widely used for many industrial processes, which can be represented by nonlinear systems. In this paper a new scheme for neural-net based PID controllers is presented. The connection weights and some parameters of the sigmoidal functions of the neural network are adjusted using a real-coded genetic algorithm. The effectiveness of the newly proposed control scheme for nonlinear systems is numerically evaluated using a simulation example.
- IEICE transactions on fundamentals of electronics, communications and computer sciences
IEICE transactions on fundamentals of electronics, communications and computer sciences E87-A(10), 2761-2768, 2004-10-01