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        Reference State Tracking in Distributed Leader-Following Wireless Sensor Networks with Limited Errors

        Jinping Mou,Jie Wang 한국통신학회 2015 Journal of communications and networks Vol.17 No.6

        In this paper, the limited error tracking problem is investigated for distributed leader-following wireless sensor networks (LFWSNs), where all sensors share data by the local communications, follower sensors are influenced by leader sensors directly or indirectly, but not vice versa, all sensor nodes track a reference state that is determined by the states of all leader sensors, and tracking errors are limited. In a LFWSN, the communicating graph is mainly expressed by some complete subgraphs; if we fix subgraphs that are composed of all leaders while all nodes in complete subgraphs of followers run on the sleeping-awaking method, then the fixed leaders and varying followers topology is obtained, and the switching topology is expressed by a Markov chain. It is supposed that the measurements of all sensors are corrupted by additive noises. Accordingly, the limited error tracking protocol is proposed. Based on the theory of asymptotic boundedness in mean square, it is shown that LFWSN keeps the limited error tracking under the designed protocol.

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        Adaptive Target Synchronization for Wireless Sensor Networks with Markov Delays and Noise Perturbation

        Wuneng Zhou,Chuan Ji,Jinping Mou,Dongbing Tong,Yan Gao 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.5

        This article focuses on the problem of adaptive target synchronization for the Wireless Sensor Networks (WSNs). By applying the LaSalle-type invariance principle and the M-matrix approach for stochastic differential delay equations with Markovian switching, several sufficient conditions to ensure adaptive target synchronization and adaptive exponential target synchronization in pth moment for WSNs with Markov delays and stochastic noises are derived. We further investigate the adaptive exponential target synchronization in probabilistic sense for the WSNs and obtain the almost sure adaptive exponential target synchronization. Via the adaptive feedback control techniques, some suitable parameters update laws are attained. We finally show some numerical simulations to illustrate the effectiveness of the results derived in this paper.

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