A 2-D systems approach to river pollution modelling
Multidimensional Systems and Signal Processing
Two-dimensional imaging
Some new results on stability robustness of two-dimensional discrete systems
Multidimensional Systems and Signal Processing - Special issue: robustness of multidimensional systems and signal processing
Journal of Control Science and Engineering
H∞ filtering of 2-D discrete state-delayed systems
Multidimensional Systems and Signal Processing
Robust guaranteed cost control for a class of two-dimensional discrete systems with shift-delays
Multidimensional Systems and Signal Processing
Delay-dependent H∞ control for 2-D discrete state delay systems in the second FM model
Multidimensional Systems and Signal Processing
Digital Signal Processing
Realization using the Roesser model for implementations in distributed grid sensor networks
Multidimensional Systems and Signal Processing
Journal of Control Science and Engineering
Application of 2D systems to investigation of a process of gas filtration
Multidimensional Systems and Signal Processing
Robust filtering for 2-D state-delayed systems with NFT uncertainties
IEEE Transactions on Signal Processing
Stability of 2-D systems described by the Fornasini-Marchesini first model
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper addresses the problem of global asymptotic stability of a class of discrete uncertain state-delayed systems described by the Fornasini-Marchesini second local state-space (FMSLSS) model using generalized overflow nonlinearities. The uncertainties are assumed to be norm bounded. A computationally tractable, that is, linear-matrix-inequality-(LMI-) based new criterion for the global asymptotic stability of such system is proposed. It is demonstrated that several previously reported stability criteria for two-dimensional (2D) systems are recovered from the presented approach as special cases. Numerical examples are given to illustrate the usefulness of the presented approach.