Genetic Tuning of Neural Non-Linear PID Controllers

The techniques of genetic algorithms are proposed as a means of tuning neural non-linear PID control systems. It is shown that the use of genetic algorithms for this purpose results in highly effective genetic neural non-linear PID control systems. These results are illustrated by designing a genetic neural non-linear PID control systems and contrasting the results with an optimally tuned linear PID controllers.