Title: Event-triggered fault estimation for stochastic state-delay systems against adversaries with application to a DC motor system

Authors: Yunji Li; Yi Gao; Quansheng Liu; Li Peng

Addresses: Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Jiangnan University, Wuxi, Jiangsu, China ' Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Jiangnan University, Wuxi, Jiangsu, China ' School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu, China ' Engineering Research Center of Internet of Things Technology Applications (Ministry of Education), Jiangnan University, Wuxi, Jiangsu, China

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.

Keywords: fault estimation; event-triggered data-transmission scheme; time delays.

DOI: 10.1504/IJCSE.2020.106057

International Journal of Computational Science and Engineering, 2020 Vol.21 No.3, pp.325 - 333

Received: 16 Jul 2018
Accepted: 07 Nov 2018
Published online: 27 Mar 2020 *

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