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This paper is concerned with the guaranteed cost filtering problem for discrete-time multi-layer neural networks with unideal measurements and time-varying delays. First, the innovative state space model of multi-layer neural networks can be described by the weighted-nonlinear function, which means that there have connections among neural layers. Then, the unideal measurements are made up by combination...
This paper investigates the problem of delay-range-dependent robust H∞ exponential filter design for uncertain stochastic delayed systems with Markovian switching and nonlinear disturbances. The system under consideration involves Markovian jump parameters, parameter uncertainties, Ito-type stochastic disturbances, nonlinearities as well as time-varying delays, which vary in a range and dependent...
This paper investigates the problem of robust Hinfin filtering for uncertain nonlinear stochastic time-delay systems with Markovian jump parameters. The system under consideration contains parameter uncertainties, Ito-type stochastic disturbances, unknown nonlinearities as well as time-varying delays, which vary in a range and dependent on the mode of the operation. We aim to design a Markovian jump...
The problem of delay-range-dependent robust Hinfin control for uncertain systems with time-varying delays and parameter uncertainties is investigated in this paper. The time delay is assumed to be a time-varying continuous function belonging to a given range. By introducing some free weighting matrices and by exploiting a novel Lyapunov-Krasovskii functional, which includes the information of the...
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