Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Event-triggered fault detection for discrete-time networked control systems|
|Citation:||Proceedings of the 42nd Annual Conference of the IEEE Industrial Electronics Society (IECON 2016), 2016 / pp.6782-6787|
|Series/Report no.:||IEEE Industrial Electronics Society|
|Conference Name:||42nd Annual Conference of the IEEE Industrial Electronics Society (IECON 2016) (24 Oct 2016 - 27 Oct 2016 : Florence, ITALY)|
|Yu-Long Wang, Peng Shi and Cheng-Chew Lim|
|Abstract:||This paper investigates the adaptively adjusted event-triggering mechanism-based fault detection for a discrete-time networked control system (NCS). The fault occurrence detection progress, the fault occurrence probability, and an adaptively adjusted event-triggering parameter are taken into account to construct a novel event-triggering mechanism. The event-triggered sensor and the event-triggered control station are used simultaneously to establish new network-based closed-loop models for the NCS subject to an actuator fault, and the sensor-to-control station and the control station-to-actuator network-induced delays. Based on the established models, the event-triggered simultaneous design of a fault detection filter and a controller is presented. A new algorithm for handling the adaptively adjusted event-triggering parameter is proposed. We analyse the performance of the simultaneous design of a fault detection filter and a controller to verify its effectiveness.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.