Large Scale Linear MIMO System Model Order Reduction using Artificial Bee Colony Optimization Algorithm

In this paper, a computationally simple approach is proposed for order reduction of large scale linear dynamic MIMO (Multi input-Multi output) system using Artificial Bee Colony (ABC) optimization algorithm. The method is based on minimization of the Integral square error (ISE) between the transient responses of original and reduced order models pertaining to unit step input. The reduction procedure is simple, efficient and computer oriented. Stability and accuracy of the reduced order model is always assured in the proposed method. The validity of algorithm is illustrated with the help of two numerical examples considered from the literature and the results are compared with other recently published reduction techniques to show its superiority.