Model reduction of uncertain discrete systems having an interval structure using genetic algorithms

Authors:
Chen-Chien Hsu;Tsung-Chi Lu;Wei-Yen Wang
Affiliations:
Department of Electronic Engineering, St. John's University, Tam-Sui, Taipei, Taiwan;Department of Electronic Engineering, St. John's University, Tam-Sui, Taipei, Taiwan;Department of Electronic Engineering, Fu-Jen Catholic University, Hsin-Chuang, Taipei, Taiwan
Venue:
ISTASC'05 Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation
Year:
2005

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Abstract

In this paper, an evolutionary approach is proposed to obtain a reduced-order discrete interval model for uncertain discrete-time systems having interval uncertainties based on resemblance of discrete sequence energy between the original and reduced systems. System performance of the discrete interval model obtained by using the proposed evolutionary approach is then verified based on time responses of the resulting model in comparison to existing methods to demonstrate the effectiveness of the proposed approach.