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This paper investigates the problem of mean square finite-time passivity for discrete-time Markov jump neural networks with time delays and stochastic perturbations. In the measurement equation, a class of sensor nonlinearities are considered, which cover the standard Lipschitz condition as a special one. A sufficient mean square finite-time boundedness condition is established based on Lyapunov-like...
The issues of mean-square finite-time stability analysis and state estimator design for stochastic switched delayed neural networks are investigated in this paper. A stability criterion with average dwell time constraint is proposed, such that the mean-square value of state is not larger than a prescribed threshold during a given time interval. Then, a state estimator, which ensures mean-square finite-time...
This paper considers stochastic finite-time stability (SFTS) and observer-based control for Itô type stochastic delay systems. First, a sufficient stochastic finite-time stability condition is established. Then, based on singular value decomposition (SVD) technique, an observer-based controller is presented in terms of strict linear matrix inequalities (LMIs). A numerical example is finally provided...
There are a large number of uncertain factors when the closed-loop supply chain works. For the internal closed-loop supply chain, as we can see in accordance with the process of forward and reverse are marked Markov and stability of the closed-loop supply chain is evaluated. For the whole course closed-loop supply chain, by calculating the transition probability between the different modes, we can...
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