A generic model order reduction technique based on Particle Swarm Optimization (PSO) algorithm

Abstract

In this Paper, a Particle Swarm Optimization based solution is proposed to solve the problem of model order reduction for high order transfer functions. The main advantages of our approach are that it is generic, with relatively small time and reasonable accuracy. Moreover, it preserves both time and frequency responses of the original transfer function.