Abstract
In this paper, the problem of stabilization for networked stochastic time-delay systems with data dropout and control input quantization is studied. The plant in the networked control system (NCS) under consideration is a nonlinear discrete time-delay stochastic system represented by a Takagi-Sugeno (T-S) fuzzy model. Control input is quantized by a class of logarithmic quantizers, which are represented by the sector-bound method. By using piecewise quadratic Lyapunov function (PQLF), the stabilization criteria of the NCS are developed. Non-parallel distributed compensation (Non-PDC) controller with convergence rate constraint is designed by solving a set of linear matrix inequalities (LMIs). A practical example is provided to illustrate the effectiveness of the proposed method.
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