Title :
New algorithm for structurally balanced model reduction of 2-D discrete systems
Author :
Luo, H. ; Lu, W.-S. ; Antoniou, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fDate :
30 Apr-3 May 1995
Abstract :
A new structurally balanced model reduction algorithm that leads to a stable reduced-order system with improved approximation error is proposed. The algorithm is developed by formulating the problem at hand as an unconstrained optimization problem in which the objective function includes a term that depends on the sum of discarded 2-D Hankel singular values. An example is given to illustrate the performance of the reduced-order system obtained using the new algorithm
Keywords :
discrete systems; minimisation; multidimensional systems; reduced order systems; 2-D discrete systems; Hankel singular values; algorithm; approximation error; objective function; reduced-order system; structurally balanced model reduction; unconstrained optimization; Approximation algorithms; Approximation error; Eigenvalues and eigenfunctions; Linear matrix inequalities; Reduced order systems; Stability; Sufficient conditions; Two dimensional displays;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.521523
