Kybernetika 56 no. 1, 5-34, 2020

Distributed filtering of networked dynamic systems with non-Gaussian noises over sensor networks: A survey

Derui Ding, Qing-Long Han and Xiaohua GeDOI: 10.14736/kyb-2020-1-0005

Abstract:

Sensor networks are regarded as a promising technology in the field of information perception and processing owing to the ease of deployment, cost-effectiveness, flexibility, as well as reliability. The information exchange among sensors inevitably suffers from various network-induced phenomena caused by the limited resource utilization and complex application scenarios, and thus is required to be governed by suitable resource-saving communication mechanisms. It is also noteworthy that noises in system dynamics and sensor measurements are ubiquitous and in general unknown but can be bounded, rather than follow specific Gaussian distributions as assumed in Kalman-type filtering. Particular attention of this paper is paid to a survey of recent advances in distributed filtering of networked dynamic systems with non-Gaussian noises over sensor networks. First, two types of widely employed structures of distributed filters are reviewed, the corresponding analysis is systematically addressed, and some interesting results are provided. The inherent purpose of adding consensus terms into the distributed filters is profoundly disclosed. Then, some representative models characterizing various network-induced phenomena are reviewed and their corresponding analytical strategies are exhibited in detail. Furthermore, recent results on distributed filtering with non-Gaussian noises are sorted out in accordance with different network-induced phenomena and system models. Another emphasis is laid on recent developments of distributed filtering with various communication scheduling, which are summarized based on the inherent characteristics of their dynamic behavior associated with mathematical models. Finally, the state-of-the-art of distributed filtering and challenging issues, ranging from scalability, security to applications, are raised to guide possible future research.

Keywords:

sensor networks, non-Gaussian noises, network-induced phenomena, communication protocols, distributed filtering

Classification:

93E11, 93C55, 93A15

paper.pdf

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  105. X.-M. Zhang, Q.-L. Han and X. Ge: Novel stability criteria for linear time-delay systems using Lyapunov-Krasovskii functionals with a cubic polynomial on time-varying delay. IEEE/CAA J. Automat. Sinica.   DOI:10.1109/jas.2020.1003111
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  108. L. Zou, Z. Wang, Q.-L. Han and D. Zhou: Ultimate boundedness control for networked systems with try-once-discard protocol and uniform quantization effects. IEEE Trans. Automat. Control 62 (2017), 12, 6582-6588.   DOI:10.1109/tac.2017.2713353
  109. L. Zou, Z. Wang, Q.-L. Han and D. Zhou: Recursive filtering for time-varying systems with random access protocol. IEEE Trans. Automat. Control 64 (2019), 2, 720-727.   DOI:10.1109/tac.2017.2713353
  110. L. Zou, Z. Wang, Q.-L. Han and D. Zhou: Moving horizon estimation for networked time-delay systems under Round-Robin protocol. IEEE Trans. Automat. Control 64 (2019), 12, 5191-5198.   DOI:10.1109/tac.2019.2910167
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