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This paper is concerned with the problem of sampled-data filtering for delayed neural network subject to sensor saturation. Rather than the continuous measurements, the neural network measurements are sampled and then transmitted to the filter simultaneously considering sensor saturation constraints. By using the input delay approach, the sampling period is converted into a bounded time-vary delay...
This thesis researches the problem of global stabilization via output feedback by using linear sampled data controller for a family of nonlinear time-delay systems which satisfy a linear growth condition. Firstly, an inductive approach is proposed to estimate the state growth in nonlinear time-delay systems. Secondly, in the condition of just the output is measurable, a linear sampled data controller...
In this paper, we consider a class of impulsive stochastic shunting inhibitory cellular neural networks with delays. By using the fixed points principle and Gronwall–Bellman׳s inequality technique, we obtain the existence and exponential stability of square-mean almost periodic solutions for this class of networks. Finally, we give an example to illustrate the feasibility of our results.
IPTV systems are widely deployed worldwide nowadays. With the widespread use of P2P networks, the efficiency of the IPTV system is increasing gradually. The decrease of server resource consumption speeds up the deployment of IPTV system. But the enhancement of user experience didn't increase so fast as the system deployment. The channel switch delay in live streaming and data sharing rate on embedded...
In this paper, we mainly concern about the channel switch delay of multi-channel P2P live streaming system. After study the essential aspects of multi-channel video systems, including channel switching, peer churn, and channel popularity, we develop a new user behavior oriented and content oriented pre-buffer mechanism to improve the user experience in live streaming borrowing the idea of user behavior...
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