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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...
In this paper, we deal with the problem of delay-range-dependent robust Hinfin filtering for uncertain linear systems with time-varying delays in a range, which are subject to norm-bounded parameter uncertainties. Both the state dynamics and measurement of the system are with time-varying delays belonging to a given range. The aim of this problem is to design a full-order linear filter, such that...
This paper considers the design of robust Hinfin filtering problem for switched stochastic discrete time-delay system with missing measurements via switched Lyapunov function approach. Attention is focused on the design of an exponentially stable filter guaranteeing a prescribed noise attenuation level in the Hinfin sense and missing measurements probability. By using switched Lyapunov functionals,...
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