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Event-triggered dissipative filtering for networked semi-Markov jump systems and its applications in a mass-spring system model

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Abstract

This paper investigates the event-triggered dissipative filtering problem for a class of networked semi-Markov jump systems. As a first attempt, the event-triggered communication scheme is introduced to save the limited network bandwidth and preserve the fixed system performance. By using the stochastic analysis, the information on the sojourn time between the mode jumps of the underlying systems is fully considered. By employing time-delay approach, the filtering performance analysis for the considered systems is presented, and then a co-design approach for the event-triggered mechanism and the dissipative filter is adopted such that the filtering error system is strictly dissipative. Finally, a numerical comparative example is used and a mass-spring system model as a realistic example is also provided to show the reduced conservatism and applicability of the proposed filtering scheme.

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan, 243002, China

    Jing Wang, Mengshen Chen & Hao Shen

  2. College of Energy and Electrical Engineering, Hohai University, Nanjing, 210098, China

    Jing Wang

Authors
  1. Jing Wang
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  2. Mengshen Chen
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  3. Hao Shen
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Corresponding author

Correspondence to Hao Shen.

Additional information

This work was supported by the National Natural Science Foundation of China under Grants 61304066, 61473171, 61503002, the Natural Science Foundation of Anhui Province under Grant 1308085QF119, the Research Project of State Key Laboratory of Mechanical System and Vibration under Grant MSV201509.

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Wang, J., Chen, M. & Shen, H. Event-triggered dissipative filtering for networked semi-Markov jump systems and its applications in a mass-spring system model. Nonlinear Dyn 87, 2741–2753 (2017). https://doi.org/10.1007/s11071-016-3224-0

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  • DOI: https://doi.org/10.1007/s11071-016-3224-0

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