Title :
Elementary Operation Approach to Order Reduction for Roesser State-Space Model of Multidimensional Systems
Author :
Shi Yan ; Li Xu ; Qinglin Zhao ; Yafei Tian
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
Abstract :
This paper proposes a new order reduction approach for Roesser state-space model of multidimensional ( n-D) systems based on elementary operations, by inversely applying the basic idea adopted in the new elementary operation approach to the Roesser model realization of n-D systems. It will be shown first that the n-D order reduction problem can be formulated into an elementary operation problem of an n-D polynomial matrix obtained from the coefficient matrices of the given Roesser model. Based on this problem formulation, a basic order reduction procedure and three techniques are presented, by which the intrinsic relationship among the blocks with respect to different variables can be investigated to achieve a further possible order reduction. It turns out that the new proposed approach is applicable to a wider class of Roesser models than the existing reduction approaches and provides a possible way to explore the equivalence between two systems. Examples are given to illustrate the main idea as well as the effectiveness of the proposed approach.
Keywords :
multidimensional systems; reduced order systems; state-space methods; transfer function matrices; Roesser state-space model; elementary operation; multidimensional systems; n-D order reduction problem; n-D polynomial matrix; Mathematical model; Matrices; Matrix converters; Polynomials; State-space methods; Transfer functions; Vectors; Elementary operation; Roesser state-space model; multidimensional systems; order reduction;
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
DOI :
10.1109/TCSI.2013.2283996