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      1. 學(xué)在北郵

        / Study in BUPT

        校慶系列講座通知:Networked Large-Scale Sensing over Complex Systems(地點(diǎn)變更,重發(fā))

        主講人 :Prof. Shuguang (Robert) Cui(Fellow,IEEE) 地點(diǎn) :校辦公樓501報告廳 開始時間 : 2015-06-05 09:00 結(jié)束時間 : 2015-06-05 11:00

        應(yīng)網(wǎng)絡(luò)與交換技術(shù)國家重點(diǎn)實驗室和泛網(wǎng)無線通信教育部重點(diǎn)實驗室的邀請,美國德州農(nóng)工大學(xué)(Texas A&M University)Shuguang (Robert) Cui教授于2015年6月5日訪問我校并作學(xué)術(shù)報告。

        報告題目:Networked Large-ScaleSensing over Complex Systems

        主講人:Prof. Shuguang (Robert) Cui(Fellow,IEEE)

        主持人:張平教授

        時間:2015年6月5日(星期五)上午9:00–11:00

        地點(diǎn):校辦公樓501報告廳

        Abstract: Data intelligence is the core building block for any modern and future cyber-physical systems, and it involves three major aspects: data processing, data storage, and data communication. Interesting and challenging research problems could be formulated over the interactions among the above three aspects in the context of cyber-physical systems. In this talk, we focus on one such interaction between data processing and data communication, to solve a specific problem on networked large-scalesensing, where data processing has to be performed in a distributed fashion over a communication network. In particular, we seek good estimates of the randomly-varying state process in a dynamic cyber-physical system, at multiple distributed sensing nodes, each of them only having a partial observation of the overall state. We allow nodes to talk with neighbors defined over a communication graph, where we introduce a communication rate constraint on the average number of message exchanges allowed across the network per unit time. In a distributed Kalman filtering framework, we establish the consensus result to show that the respective error variance at each distributed node converges weakly in distribution. In addition, with large deviation analysis, we could show that such a distribution collapses to a Dirac measure (i.e., the error performance achieved by the ideal centralized Kalman filter) exponentially fast as we increase the network communication rate. To further satisfy more practical communication requirements, we then extend the result to the case with quantized message exchanges, with similar convergence results established. Towards the end of the talk, I will briefly mention another result on the interaction between data storage and data communication.

        該講座為北京郵電大學(xué)60周年校慶系列講座之一,歡迎全校師生踴躍參加。

        校學(xué)術(shù)委員會
        網(wǎng)絡(luò)技術(shù)研究院,信息與通信工程學(xué)院
        網(wǎng)絡(luò)與交換技術(shù)國家重點(diǎn)實驗室,泛網(wǎng)無線通信教育部重點(diǎn)實驗室
        2015年6月1日

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