Title :
Reduction of large scale linear dynamic SISO and MIMO systems using differential evolution optimization algorithm
Author :
Vasu, G. ; Santosh, K.V.S. ; Sandeep, G.
Author_Institution :
Dept. of Electr. Eng., S.V.P Eng. Coll., Visakhapatnam, India
Abstract :
In this paper, a computationally simple approach is proposed for order reduction of large scale system linear dynamic SISO and MIMO system using differential evolutionary (DE) optimization technique. The method is based on minimizing the integral square error (ISE) between the transient responses of original and reduced order models pertaining to step input. The reduction procedure is simple, efficient and computer oriented. Stability of the reduced order system is always assured in proposed method. The algorithm is illustrated with help of two numerical examples and results are compared with other well known reduction techniques to show its superiority.
Keywords :
MIMO systems; evolutionary computation; large-scale systems; linear systems; optimisation; reduced order systems; stability; MIMO systems; differential evolution optimization algorithm; integral square error minimization; large scale linear dynamic SISO system; order reduction; reduced order models; reduced order system stability; MIMO; Mathematical model; Optimization; Reduced order systems; Transfer functions; Transient analysis; Vectors; MIMO system; SISO system; differential evolutionary optimization; integral square error; model order reduction;
Conference_Titel :
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4673-1516-6
DOI :
10.1109/SCEECS.2012.6184732
