SMC for Discrete-Time Networked Semi-Markovian Switching Systems With Random DoS Attacks and Applications

This article concentrates on the discrete-time sliding mode control (DTSMC) problem for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) attacks. The semi-Markovian kernel (SMK) approach is utilized such that the switching among different modes is mu...

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Published inIEEE transactions on systems, man, and cybernetics. Systems Vol. 53; no. 3; pp. 1982 - 1993
Main Authors Qi, Wenhai, Hou, Yakun, Park, Ju H., Zong, Guangdeng, Cao, Jinde, Cheng, Jun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Online AccessGet full text
ISSN2168-2216
2168-2232
2168-2232
DOI10.1109/TSMC.2022.3211322

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Abstract This article concentrates on the discrete-time sliding mode control (DTSMC) problem for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) attacks. The semi-Markovian kernel (SMK) approach is utilized such that the switching among different modes is mutually governed by the transition probability and the sojourn-time distribution function. Considering randomly occurring DoS attacks, a sliding mode function related to the attack probability is constructed to analyze the impact of malicious attacks. Then, sufficient conditions under the equivalent DTSMC law are derived in view of the <inline-formula> <tex-math notation="LaTeX">\sigma </tex-math></inline-formula>-error mean square stability criterion. Furthermore, the synthesis problem of the proposed DTSMC law ensures that the resulting closed-loop system dynamics can be driven onto the prespecified sliding region within a limited time. Finally, an electronic throttle control system is shown to validate the proposed algorithm.
AbstractList This article concentrates on the discrete-time sliding mode control (DTSMC) problem for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) attacks. The semi-Markovian kernel (SMK) approach is utilized such that the switching among different modes is mutually governed by the transition probability and the sojourn-time distribution function. Considering randomly occurring DoS attacks, a sliding mode function related to the attack probability is constructed to analyze the impact of malicious attacks. Then, sufficient conditions under the equivalent DTSMC law are derived in view of the [Formula Omitted]-error mean square stability criterion. Furthermore, the synthesis problem of the proposed DTSMC law ensures that the resulting closed-loop system dynamics can be driven onto the prespecified sliding region within a limited time. Finally, an electronic throttle control system is shown to validate the proposed algorithm.
This article concentrates on the discrete-time sliding mode control (DTSMC) problem for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) attacks. The semi-Markovian kernel (SMK) approach is utilized such that the switching among different modes is mutually governed by the transition probability and the sojourn-time distribution function. Considering randomly occurring DoS attacks, a sliding mode function related to the attack probability is constructed to analyze the impact of malicious attacks. Then, sufficient conditions under the equivalent DTSMC law are derived in view of the <inline-formula> <tex-math notation="LaTeX">\sigma </tex-math></inline-formula>-error mean square stability criterion. Furthermore, the synthesis problem of the proposed DTSMC law ensures that the resulting closed-loop system dynamics can be driven onto the prespecified sliding region within a limited time. Finally, an electronic throttle control system is shown to validate the proposed algorithm.
Author Cao, Jinde
Hou, Yakun
Park, Ju H.
Zong, Guangdeng
Qi, Wenhai
Cheng, Jun
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Snippet This article concentrates on the discrete-time sliding mode control (DTSMC) problem for uncertain networked semi-Markovian switching systems (S-MSSs) under...
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StartPage 1982
SubjectTerms Algorithms
Closed loops
Computer crime
Denial of service attacks
Denial-of-service attack
Discrete time systems
Distribution functions
Feedback control
Impact analysis
Semi-Markovian switching systems (S-MSSs)
Sliding mode control
sliding mode control (SMC)
Stability criteria
Switches
Switching
Switching systems
System dynamics
System performance
Transition probabilities
transition probability
Uncertain systems
Uncertainty
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Title SMC for Discrete-Time Networked Semi-Markovian Switching Systems With Random DoS Attacks and Applications
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