Design of a robust neural controller for a specified plant using genetic algorithms approach

Applications of soft computing (SC) concept to control systems design are appealing to all control designers. Discussions on how to design neural controllers (NC) for control system design are still not plentiful. In these paper, genetic algorithms (GA) approach is used for finding weights and bias of a NC. From the simulation results, robustness to the plant parameters is preserved.