Identification of motion control system using genetic algorithms

The soft computing has been applied to a wide variety of control systems in industry because of their control capability and flexibility. They are powerful to handle the complicated mechanical systems with nonlinearity which are difficult to model as mathematical formulas. This paper presents a novel autonomous algorithm for the identification of unknown structured mechanical systems using genetic algorithms (GA), where the optimal order of a system and the optimal set of coefficient polynomial can be determined by the optimization ability of GA.