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Author:

Sun, H. (Sun, H..) | Han, H. (Han, H..) | Sun, J. (Sun, J..) | Yang, H. (Yang, H..) | Qiao, J. (Qiao, J..)

Indexed by:

EI Scopus SCIE

Abstract:

This paper investigates the security control problem of sampled-data Takagi-Sugeno fuzzy systems subject to cyber attacks and successive packet losses. The cyber-attack considered in the paper is a stochastic deception attack. The packet losses under consideration occur in the sensor to controller (S-C) channel and the controller to actor (C-A) channel, both of which are modeled as two independent Bernoulli processes. On this basis, a novel successive packet loss modeling method is proposed with some basic assumptions. By the exact discrete-time model approach, a discretized sampled-data T-S fuzzy model is first established by considering the probability characteristic of the deception attacks and successive packet losses in an unified framework. Based on the established mode, the sufficient conditions to guarantee the security degree are derived by the Lyapunov function approach. Furthermore, the fuzzy security controller is designed in view of linear matrix inequalities. Finally, a benchmark example is given to show the validity of the proposed approach. IEEE

Keyword:

successive packet losses Security control Sun Actuators sampled-data Takagi-Sugeno (T-S) fuzzy systems Packet loss Security Cyberattack Nonlinear systems Fuzzy systems controller design

Author Community:

  • [ 1 ] [Sun H.]Faculty of Information Technology, the Beijing Key Laboratory of Computational Intelligence and Intelligent System, and Beijing Laboratory of Smart Environmental Protection, Beijing University of Technology, Beijing, China
  • [ 2 ] [Han H.]Faculty of Information Technology, the Beijing Key Laboratory of Computational Intelligence and Intelligent System, and Beijing Laboratory of Smart Environmental Protection, Beijing University of Technology, Beijing, China
  • [ 3 ] [Sun J.]Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, PR China
  • [ 4 ] [Yang H.]Faculty of Information Technology, the Beijing Key Laboratory of Computational Intelligence and Intelligent System, and Beijing Laboratory of Smart Environmental Protection, Beijing University of Technology, Beijing, China
  • [ 5 ] [Qiao J.]Faculty of Information Technology, the Beijing Key Laboratory of Computational Intelligence and Intelligent System, and Beijing Laboratory of Smart Environmental Protection, Beijing University of Technology, Beijing, China

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Source :

IEEE Transactions on Fuzzy Systems

ISSN: 1063-6706

Year: 2022

Issue: 4

Volume: 31

Page: 1-11

1 1 . 9

JCR@2022

1 1 . 9 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:49

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 28

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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