Multidimensional Systems and Signal Processing
A 2-D systems approach to river pollution modelling
Multidimensional Systems and Signal Processing
Two-dimensional imaging
On the Positive Definite Solutions to the 2-D Continuous-timeLyapunov Equation
Multidimensional Systems and Signal Processing
Artificial Social Systems: 4th European Workshop on Modelling Autonomous Agents in a Multi-Agent World MAAMAW '92, S. Martino Al Cimino, Italy, July 29-31 1992
Two-Dimensional Digital Filters
Two-Dimensional Digital Filters
Stability analysis of linear 2-D systems
Signal Processing
Brief paper: H∞ filtering for 2D Markovian jump systems
Automatica (Journal of IFAC)
Realization using the Roesser model for implementations in distributed grid sensor networks
Multidimensional Systems and Signal Processing
Application of 2D systems to investigation of a process of gas filtration
Multidimensional Systems and Signal Processing
Robust H∞ filtering for Uncertain2-D continuous systems
IEEE Transactions on Signal Processing
Reply to "comments on 'stability and absence of over ow oscillations for 2-d discrete-time systems"
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
LMI Stability Tests for the Fornasini-Marchesini Model
IEEE Transactions on Signal Processing - Part II
Stability analysis of 2-D state-space digital filters usingLyapunov function: a caution
IEEE Transactions on Signal Processing
Comments on “Stability and absence of overflow oscillationsfor 2-D discrete-time systems”
IEEE Transactions on Signal Processing
Stability of 2-D systems described by the Fornasini-Marchesini first model
IEEE Transactions on Signal Processing
Stability and absence of overflow oscillations for 2-Ddiscrete-time systems
IEEE Transactions on Signal Processing
Stability analysis of 2-D digital filters with saturation arithmetic: an LMI approach
IEEE Transactions on Signal Processing
Stability and stability margin for a two-dimensional system
IEEE Transactions on Signal Processing
Analysis and design of output feedback control systems in the presence of state saturation
ACC'09 Proceedings of the 2009 conference on American Control Conference
Asymptotical stability of 2-D linear discrete stochastic systems
Digital Signal Processing
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A new criterion for the global asymptotic stability of 2-D discrete systems described by the Roesser model using saturation arithmetic is presented. The criterion is a generalization over an earlier criterion due to Liu and Michel. The generalized criterion has the feature that Lyapunov matrix P is not restricted to be symmetric, i.e., P can be even unsymmetric. A modified form of the criterion is also presented. Two examples showing the effectiveness of the generalized approach to yield new 2-D stability results are provided. To the best of author's knowledge, the use of unsymmetric P to obtain new 2-D stability conditions (i.e., conditions which are outside the scope of symmetric P) is demonstrated, for first time, in this paper.