Title
Model Reduction of Uncertain FIR Discrete-Time Systems
Abstract
Model reduction of high-order polynomial systems is considered. The main novelty of the paper is that the polynomial coefficients are assumed to be known only within given intervals. The resulted reduced system is characterized by a fixed-coefficients polynomial. First, the meaning of such a model reduction is defined. Then, applying a novel approach, the maximal "distance" (error) between the pol...
Year
DOI
Venue
2004
10.1109/TCSII.2004.832766
IEEE Transactions on Circuits and Systems II: Express Briefs
Keywords
Field
DocType
Reduced order systems,Finite impulse response filter,Uncertain systems,Polynomials,Linear programming,Eigenvalues and eigenfunctions,Arithmetic,Stability,Frequency,Computational complexity
Polygon,Polynomial,Control theory,Complex plane,Linear programming,Discrete time and continuous time,Polynomial coefficients,Finite impulse response,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
51
8
1549-7747
Citations 
PageRank 
References 
6
0.58
8
Authors
2
Name
Order
Citations
PageRank
Yuri Dolgin1122.06
E. Zeheb2265.51