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This paper studies the stability and stabilization of stochastic Linear Parameter Varying (LPV) Takagi-Sugeno (T-S) fuzzy system. Concretely, the affine T-S fuzzy linearization approach is used to deal with the nonlinearity of the parameter-dependent stochastic nonlinear system and the stochastic LPV T-S fuzzy system is obtained. While bringing in the parameter-dependent Piecewise Quadratic Lyapunov...
Reform of university courses layout is an important part in university education reform. The content and time for any course should be improved based on different students and their educational background. At the same time, relationship among different courses should also be optimized. Because of some reasons, there is no enough good guide for the current courses reform. We take advantage of evolution...
Relevance vector machine (RVM) is one kind of intelligent classification algorithm with good performance. However, it is difficult to classify targets which have similar characteristics using RVM. In this paper a sort of dynamic classification algorithm which combines RVM and Particle filtering (PF) is proposed: When the characteristics of targets are resembling at initial state, this algorithm can...
An efficient and stable cluster system would be proposed in this paper for the load balancing of servers. It bases on the improved load balancing algorithm. The cluster system uses load parameter information including CPU utilization, memory utilization, I/O utilization and network traffic to decide the load of each child node. And it adds a redundant node to collect the load balancing parameters...
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