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Robust Estimation with Limited Communication Capacity

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Robust Filtering for Uncertain Systems

Part of the book series: Communications and Control Engineering ((CCE))

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Abstract

This chapter deals with the problem of H-infinity filtering for networked control systems (NCSs) with limited communication capacity. Three typical phenomena, that is, measurement quantization, data package dropout, and transmission delay, are considered simultaneously to characterize a communication network with limited communication capacity. First, a unified delay system model with norm-bounded uncertainty and two successive delay components is formulated for describing the considered filtering problem subject to these typical phenomena in a network environment. Then, by utilizing the Lyapunov-Krasovskii method, delay-dependent sufficient conditions in terms of LMIs are obtained for filtering performance analysis and filter design, respectively. Using the quadratic method and parameter-dependent method, two different approaches with different computational complexity and design conservatism are further proposed to cope with polytopic uncertainty. Finally, two numerical examples including simulation are employed to demonstrate the effectiveness of the proposed filter design method in this chapter.

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Authors and Affiliations

  1. Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China

    Huijun Gao & Xianwei Li

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  1. Huijun Gao
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  2. Xianwei Li
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Correspondence to Huijun Gao .

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© 2014 Springer International Publishing Switzerland

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Gao, H., Li, X. (2014). Robust Estimation with Limited Communication Capacity. In: Robust Filtering for Uncertain Systems. Communications and Control Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-05903-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-05903-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05902-0

  • Online ISBN: 978-3-319-05903-7

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