Novel Cyber Fault Prognosis and Resilience Control for Cyber-Physical Systems

Abstract

Cyber–physical systems (CPSs) consists of a network, computation, and physical process. Embedded networks, which deliver control and sensing signal, can potentially affect CPSs performance. However, the degradation of physical system performance caused by the embedded networks is frequently oversimplified with strong assumptions. The proposed scheme effectively relaxes those assumptions in the existing works that network delays are bounded in a specific range or its distribution is time invariant. Most of the existing works on fault diagnosis and prognosis addressed the physical system fault detection and isolation, and ignore cyber network faults. A novel cyber network fault prognosis scheme is proposed to deal with both of cyber and physical system fault. It can identify when a cyber fault has occurred, and pinpoint the type of fault based on CPS system performance prediction, then, trigger resilience controller at an appropriate time to minimise the computational overhead. Thus, it can guarantee the stability of the entire CPS and substantially reduce computational overhead of the resilience control by triggering it if necessary.

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Intelligent Systems Center

International Standard Serial Number (ISSN)

2398-3396

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institution of Engineering and Technology (IET), All rights reserved.

Publication Date

02 Apr 2019

Link to Full Text

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