Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/104043
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Type: Journal article
Title: Adaptively adjusted event-triggering mechanism on fault detection for networked control systems
Author: Wang, Y.
Lim, C.
Shi, P.
Citation: IEEE Transactions on Cybernetics, 2017; 47(8):2299-2311
Publisher: IEEE
Issue Date: 2017
ISSN: 2168-2267
2168-2275
Statement of
Responsibility: 
Yu-Long Wang, Cheng-Chew Lim, and Peng Shi
Abstract: This paper studies the problem of adaptively adjusted event-triggering mechanism-based fault detection for a class of discrete-time networked control system (NCS) with applications to aircraft dynamics. By taking into account the fault occurrence detection progress and the fault occurrence probability, and introducing an adaptively adjusted event-triggering parameter, a novel event-triggering mechanism is proposed to achieve the efficient utilization of the communication network bandwidth. Both the sensor-to-control station and the control station-to-actuator network-induced delays are taken into account. The event-triggered sensor and the event-triggered control station are utilized simultaneously to establish new network-based closed-loop models for the NCS subject to faults. Based on the established models, the event-triggered simultaneous design of fault detection filter (FDF) and controller is presented. A new algorithm for handling the adaptively adjusted event-triggering parameter is proposed. Performance analysis verifies the effectiveness of the adaptively adjusted event-triggering mechanism, and the simultaneous design of FDF and controller.
Keywords: Adaptively adjusted event-triggering; fault detection filter (FDF); networked control system (NCS)
Rights: © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
DOI: 10.1109/TCYB.2016.2631903
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
Published version: http://dx.doi.org/10.1109/tcyb.2016.2631903
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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