Robust and optimal control
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
A direct-construction approach to multidimensional realization and LFR uncertainty modeling
Multidimensional Systems and Signal Processing
Minimization of Multidimensional Linear Iterative Circuits
IEEE Transactions on Computers
Unified pascal matrix for first-order s-z domain transformations
IEEE Transactions on Signal Processing
Simple state-space formulations of 2-D frequency transformation and double bilinear transformation
Multidimensional Systems and Signal Processing
Robust H∞ filtering for Uncertain2-D continuous systems
IEEE Transactions on Signal Processing
The double bilinear transformation for 2-D systems in state-spacedescription
IEEE Transactions on Signal Processing
IEEE Transactions on Circuits and Systems for Video Technology
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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.