Modeling Optimization Process in Design of Robust Systems

Abstract

This paper deals with features of the software used for designing robust control systems. The optimization criterion and features of the mixed robust parametrical optimization are represented. The block-scheme of the algorithm of designing the robust control system is given. The comparative analysis of the downhill simplex method and genetic programming for implementation of the optimization process is represented. The advantages of the genetic algorithm in this area are shown.