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Can I read Event-triggered fault estimation for stochastic state-delay systems against adversaries with application to a DC motor system on EtoBox?

Event-triggered fault estimation for stochastic state-delay systems against adversaries with application to a DC motor system by Li, Yunji; Gao, Yi; Liu, Quansheng; Peng, Li is a Computer Science article available to read on EtoBox.

What is Event-triggered fault estimation for stochastic state-delay systems against adversaries with application to a DC motor system about?

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.

Who reads Event-triggered fault estimation for stochastic state-delay systems against adversaries with application to a DC motor system?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Li, Yunji; Gao, Yi; Liu, Quansheng; Peng, Li
Publisher
Inderscience Publishers; Inderscience Enterprises Ltd.; Inderscience Enterprises (ISSN 1742-7185)
Published
2020
Language
EN
Field
Computer Science (Physical Sciences)

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