Secure State Estimation of Nonlinear Cyber-Physical Systems Against DoS Attacks: A Multiobserver Approach

This article focuses on the problem of secure state estimation for cyber-physical systems (CPSs), whose physical plants are modeled as nonlinear strict-feedback systems. The measured output is sent to the designed observer over a wireless communication network subject to denial-of-service (DoS) atta...

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Vydáno v:IEEE transactions on cybernetics Ročník 53; číslo 3; s. 1447 - 1459
Hlavní autoři: Yan, Jing-Jing, Yang, Guang-Hong
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Cascade observer technique
Computer crime
Control systems
Cyber-physical systems
cyber-physical systems (CPSs)
Cybersecurity
Denial of service attacks
denial-of-service (DoS) attacks
Denial-of-service attack
high-gain observer
Noise measurement
nonlinear strict-feedback systems
Nonlinear systems
Observers
State estimation
switched algorithm
Switches
Upper bound
Wireless communications
ISSN:2168-2267, 2168-2275, 2168-2275
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Shrnutí:This article focuses on the problem of secure state estimation for cyber-physical systems (CPSs), whose physical plants are modeled as nonlinear strict-feedback systems. The measured output is sent to the designed observer over a wireless communication network subject to denial-of-service (DoS) attacks. Due to the energy constraints of the attackers, the attack duration is upper bounded. Under DoS attacks, the transmission is prevented, which worsens the estimation accuracy of the existing nonlinear observers significantly. To maintain the estimation performance, a novel multiobserver scheme and a switched algorithm are proposed by introducing the hold-input mechanism and the cascade observer technique. In comparison to the existing results, where the estimation error systems may be unstable during the attack time interval, the estimation error of the designed observer converges exponentially, such that the estimation performance is improved effectively. Finally, the theoretical findings are illustrated by simulation results.
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2021.3100303