Intelligent control toolkit for the Connoisseur/sup TM/ advanced control package

The modelling and control of systems with linear mathematics is a well established field. However, for applications in the real world, the development of nonlinear modelling and control techniques continues. Following the successful integration of a nonlinear modelling capability, using neural networks, into the Connoisseur/sup TM/ advanced control package, this paper describes the development and integration of a genetic algorithm (GA) based nonlinear controller. The control problem is outlined, an overview of genetic algorithms is given, and the use of a genetic algorithm as a controller is explained. Example results are shown, with comments about the various factors that affect the performance of the controller, and the practical implementation of the controller.