2015
DOI: 10.1007/s00034-015-9975-x
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A New Delay-Dependent Stability Criterion for Uncertain 2-D Discrete Systems Described by Roesser Model Under the Influence of Quantization/Overflow Nonlinearities

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Cited by 24 publications
(22 citation statements)
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“…Note also that limα1trueα^h1,h2=1h2h1+1 and limα1trueα^r1,r2=1r2r1+1. Thus, when α approaches 1, the inequalities in Equations and are reduced to 2‐D Jensen‐type inequalities given in Chen and Tadepalli et al…”
Section: Resultsmentioning
confidence: 92%
See 1 more Smart Citation
“…Note also that limα1trueα^h1,h2=1h2h1+1 and limα1trueα^r1,r2=1r2r1+1. Thus, when α approaches 1, the inequalities in Equations and are reduced to 2‐D Jensen‐type inequalities given in Chen and Tadepalli et al…”
Section: Resultsmentioning
confidence: 92%
“…While the problem of stability analysis and controller design has been well developed for one‐dimensional (1‐D) systems with delays, such theory for 2‐D systems has just received growing research attention recently. For example, in previous studies, the problem of stability was studied for 2‐D discrete‐time systems with time‐varying delays coupled with saturation and quantization nonlinearities. By introducing slack matrix variables and using sector based characterisation of the nonlinearities, delay‐dependent stability conditions were derived in terms of linear matrix inequalities (LMIs).…”
Section: Introductionmentioning
confidence: 99%
“…While stability analysis and control of onedimensional (1-D) delayed systems has been widely studied and developed, this problem for 2-D systems has gained growing attention recently. Particularly, in [5,29], delay-dependent stability conditions were proposed for discretetime 2-D systems with time-varying delays in the presence of saturation and quantization nonlinearities. By utilizing the free-weighting matrix technique, delay-dependent robust stability conditions were derived in [40] for a class of 2-D systems described by the second FM model with delays and uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…Two‐dimensional (2D) systems, in which the information propagation occurs in each of the two independent directions, appear in many practical applications, such as image processing, multidimensional digital filtering, and circuit analysis (see, eg, other works and the references therein). Due to their structures and applications, the Roesser model and the Fornasini‐Marchesini model are the most frequently used to describe 2D systems and have attracted considerable attention in the past few decades . In particular, some results on the dynamical properties of 2D positive systems have been reported .…”
Section: Introductionmentioning
confidence: 99%
“…Due to their structures and applications, the Roesser model and the Fornasini-Marchesini model are the most frequently used to describe 2D systems 1,4,5 and have attracted considerable attention in the past few decades. [6][7][8] In particular, some results on the dynamical properties of 2D positive systems have been reported. [9][10][11] Positive dynamical systems are those systems, whose state variables are nonnegative whenever the initial conditions are nonnegative.…”
Section: Introductionmentioning
confidence: 99%