Event-triggered fault estimation for stochastic state-delay systems against adversaries with application to a DC motor system
by Yunji Li; Yi Gao; Quansheng Liu; Li Peng
International Journal of Computational Science and Engineering (IJCSE), Vol. 21, No. 3, 2020

Abstract: This paper is concerned with the problem of fault estimation for stochastic state-delay systems subject to adversaries under an event-triggered data-transmission framework. An adversarial fault estimator is designed for remote state and fault estimation simultaneously. Furthermore, a sufficient condition is provided for exponential stability in the mean-squared of the proposed event-triggered fault estimator. The corresponding event-triggered sensor data transmission scheme is to reduce the overall communication burden. Finally, an application example on a DC motor system is presented and the benefits of the obtained theoretical results are demonstrated by comparative experiments.

Online publication date: Fri, 27-Mar-2020

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