Chebyshev rational functions approximation for model order reduction using harmony search

A new method for model reduction of linear systems is presented, based on chebyshev rationalfunctions, using the harmony search (hs) algorithm. first, the full order system is expanded and then aset of parameters in a fixed structure are determined, whose values define the reduced order system. thevalues are obtained by minimizing the errors between the l first coefficients of the chebyshev rationalfunction expansion of full and reduced systems, using the hs algorithm. to assure stability, the routhcriterion is used as constraints in the optimization problem. to present the ability of the proposed method,three test systems are reduced. the results obtained are compared with other existing techniques. theresults obtained show the accuracy and efficiency of the proposed method.