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IMA Journal of Mathematical Control and Information 1990 7(2):159-167; doi:10.1093/imamci/7.2.159
© 1990 by Institute of Mathematics and its Applications
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An Optimal Reduced-Order Model by Discrete Orthogonal State Variables

MOOSA M. AL-MAZEEDI

Electrical and Computer Engineering Department, College of Engineering and Petroleum, Kuwait University P. O. BOX 5969, 13060 Safat, Kuwait

A linear discrete autonomous (i.e. unforced and time-invariant) systems is considered, and a set of discrete state variables formulated. The location of zeros of such state variables is used to demonstrate some concepts in control theory. Applications to reduced-order models are discussed. The concept of discrete orthogonal state variables is shown, in a particular case, to be superior to some other concepts in model-reduction analysis.


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