Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 13, Issue 1, Pages 312-321Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2016.2569566
Keywords
Event-based distributed filtering; periodic event-triggered sampling; position and velocity estimation; spring-mass systems; two-degree-of-freedom quarter-car suspension systems (2DOF-QSS)
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Funding
- National Natural Science Foundation of China [61273026, 61272064, 61573077, 61573260, 91120308]
- Shanghai International Science and Technology Cooperation Project [15220710700]
- Shanghai Pujiang Program [14PJ1409000]
- Australian Research Council Discovery Project [DP160103567]
- Open Foundation of First Level Zhejiang in the Key Discipline of Control Science and Engineering
- State Key Laboratory of Robotics and System Harbin Institute of Technology [SKLRS-2016-KF-03]
- Fundamental Research funds for Central Universities
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This paper is concerned with the problem of vertical attitude estimation of a two-degree-of-freedom quarter-car suspension system by designing a distributed filtering network, where several distributed filters estimate vehicle heave motion cooperatively under consideration of external disturbance, network channel noises, and measurement error. The sampled data are transmitted through wireless networks. In order to reduce network traffic load and save communication resources, a novel periodic event-triggered sampling scheme is proposed, under which data are transmitted only when the proposed triggering condition is violated. Codesign of event-triggered and distributed filters is derived to guarantee well H-infinity robustness to the system noises considered above. Finally, the experiments are given to show the effectiveness of the proposed filtering system.
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