Identification of motion control system using genetic algorithms

Abstract

The soft computing has been applying 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 various nonlinear which are difficult to be modeled 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.