Title
A general state-space representation of n-variable bilinear transformation
Abstract
This paper proposes a general formulation of the relationship between the state-space representations of a multidimensional (n-D) continuous system and an n-D discrete system which are related by the n-variable bilinear transformation such that the state-space representations of these two related systems can be directly calculated from each other. The new formulation is derived based on the theory of linear fractional transformation (LFT) and the resultant form is simple and concise. Moreover, the relations among the proposed formulation and the existing 1-D and 2-D results are investigated and it turns out that the new formulation includes these existing results as special cases. A numerical example is presented to illustrate the effectiveness of the proposed formulation.
Year
DOI
Venue
2011
10.1016/j.sigpro.2010.06.016
Signal Processing
Keywords
Field
DocType
roesser state-space model,n-d discrete system,general formulation,n-variable bilinear transformation,existing result,continuous system,multidimensional system,new formulation,n -variable bilinear transformation,linear fractional transformation,state-space representation,general state-space representation,proposed formulation,related system,state space representation,state space model,discrete system
Applied mathematics,Signal processing,Mathematical optimization,Computer simulation,State-space representation,Variable transformation,Bilinear transform,Linear fractional transformation,Discrete system,Mathematics,Calculus,Multidimensional systems
Journal
Volume
Issue
ISSN
91
2
Signal Processing
Citations 
PageRank 
References 
1
0.35
9
Authors
4
Name
Order
Citations
PageRank
Shi Yan112719.94
Natsuko Shiratori270.89
Hsin-Jang Shieh316316.51
Li Xu422634.88