A new model reduction scheme for linear time-invariant systems with polynomial.

(1997) A new model reduction scheme for linear time-invariant systems with polynomial. Masters thesis, King Fahd University of Petroleum and Minerals.


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This thesis presents two new model reduction techniques for the approximation of high order linear time-invariant dynamic systems, one from the state space point of view and the other from the input/output point of view. The two techniques give reduced models having good steady-state and transient behavior when the inputs are polynomials. In the state space method, the original system is transformed into an identical new system which when reduced gives an improved steady-state and transient response. In the second model reduction technique, we use a mixture of Markov parameters and moments to obtain an approximate realization having a better steady-state response than the approximate realization resulting from using only Markov parameters. The two proposed techniques are developed for both continuous-time and discrete-time dynamic systems. Several examples demonstrate the accuracy of the approximations and confirm the above claims.

Item Type: Thesis (Masters)
Subjects: Electrical
Department: College of Engineering and Physics > Electrical Engineering
Committee Advisor: Bettayeb, Mammar
Committee Members: Abdel-Magid, Youssef L. and Al-Baiyat, Samir A. and Al-Duwaish, Hussain and Farag, Ahmad S.
Depositing User: Mr. Admin Admin
Date Deposited: 22 Jun 2008 14:04
Last Modified: 01 Nov 2019 14:00
URI: https://eprints.kfupm.edu.sa/id/eprint/10412