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《第36届中国控制会议论文集(E)》2017年
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Random Sampling and performance analysis for Networked Systems

Zibao Lu  Yan Zhuang  Lei Yuan  
【摘要】:This paper investigates networked control systems using random sampling method which can be tuned by a continue time Markov chain.The sampling instants are modeled by using jumps between states of a continue time Markov chain.Whenever there is a jump from a state in the Markov chain to a state that represent a subsystem in the networked system,we sample that particular subsystem and transmit its state measurement across the shared communication network to the corresponding sub-controller.By minimizing a cost function which was introduced for this Markov Chain,we extract an optimal scheduling policy to fairly allocate the network resources among the subsystems.The statistical properties of this scheduling policy are studied to compute upper bounds for the closed-loop performance of the networked system.A numerical example has shown the usefulness of the proposed results.
【作者单位】:School of Control Science and Engineering,Dalian University of Technology College of Physics and Electronic Information,Anhui Normal University
【基金】:supported in part by the National Natural Science Foundation of China under grants 61503003 and U1508208 the Natural Science Foundation of Anhui Province under grants 1508085QF126 the Postdoctoral Science Foundation of China under grants1508085QF126
【分类号】:O211.62;O231
【正文快照】:
1 IntroductionIn wireless networked systems(such as wireless sensornetworks)consisting of a large number of nodes,due tolimitation of power supply and network capacity,anappropriate scheduling for the nodes is very important andindispensable for guarante

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