Evolutionary approach for model order reduction

The phenomenon of compact model has become an extensive area of research. This article presents a mixed approach for model order reduction (MOR) of a single input and single output system (SISO). The technique is based on Padé approximation which gives equal emphasis to time moments and Markov parameters and a nature-based particle swarm optimization (PSO) approach. In this mixed method, numerator is derived using PSO and denominator is derived using Padé approximation. The worthiness and effectiveness of the method are investigated in terms of integral square error (ISE). Numerical example is verified and compared with various existing techniques on the basis of ISE to prove the superiority of the proposed method. The proposed method guaranties the stability of the reduced order system.