Discrete system order reduction using multipoint step response matching

Authors:
S. Mukherjee; Satakshi;R. C. Mittal
Affiliations:
Department of Electrical Engineering, I.I.T., Roorkee 247667, India;Department of Mathematics, I.I.T., Roorkee 247667, India;Department of Mathematics, I.I.T., Roorkee 247667, India
Venue:
Journal of Computational and Applied Mathematics
Year:
2004

Citing 0
Cited 1

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

ISTASC'05 Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation

Quantified Score

Hi-index	7.29

Visualization

Abstract

The proposed method of linear time invariant discrete system order reduction is based on multipoint step response matching for both pole and zero evaluation of the low order model. Depending on the number of zeros and poles of the low order model, the number of points are selected on the time axis of the unit step response such that the unknown poles and zeros can be determined by solving a set of nonlinear equations using Newton's method.