eng Science and Education Publishing Journal of Automation and Control 2372-3041 2016-04-29 4 1 1 9 10.12691/automation-4-1-1 AUTOMATION2016411 article D. K. Sambariya dsambariya_2003@gmail.com 1 Omveer Sharma 1 Department of Electrical Engineering, Rajasthan Technical University, Kota, India In this paper, a large order system is reduced by using the Cuckoo Search Algorithm (CSA) to a reduced order approximate model. The denominator coefficients of a desired reduced order system are determined by Routh approximation method while the numerator coefficients are determined using CSA based on integral square error minimization as an objective function pertaining to a unit step as input. The efficacy of the proposed method is tested with three SISO test systems to get a corresponding reduced order system and extended to a MIMO system. The results are satisfactory in terms of minimum error with the proposed method as compared to Routh Pade approximation and weighted sum multi-objective harmony search based reduced models. http://pubs.sciepub.com/automation/4/1/1/automation-4-1-1.pdf ISE minimization approach large scale systems Model order reduction Optimization using Cuckoo search algorithm Routh approximation