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This paper is concerned with stability analysis for two-dimensional (2-D) discrete systems described by the Roesser models (RM) with varying delay in the state. By utilizing the delay partitioning idea and the Lyapunov method, a new stability criteria is proposed in terms of linear matrix inequalities (LMIs). This result is delay-dependent and also dependent on the partitioning size. A numerical example...
This paper is concerned with stability analysis for two-dimensional (2-D) discrete systems with shift delays in the general models (GM). Delay-dependent sufficient conditions for stability are derived and expressed in terms of linear matrix inequalities (LMIs). The stability theorem concludes stability theorems for 2D discrete systems by the general models and the Fornasini-Marchesini local state...
In this paper, the delay-dependent state estimation problem for a class of neural networks with time-varying discrete and distributed delays is concerned. The activation function is assumed to be neither monotonic nor differentiable, and a delay-dependent condition is established in terms of linear matrix inequality (LMI) to guarantee the dynamics of the estimation error is globally asymptotically...
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