Quantized Stabilization for T-S Fuzzy Systems With Hybrid-Triggered Mechanism and Stochastic Cyber-Attacks
This paper examines quantized stabilization for Takagi-Sugeno (T-S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of the network. By taking the effect of the hybri...
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| Published in | IEEE transactions on fuzzy systems Vol. 26; no. 6; pp. 3820 - 3834 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.12.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper examines quantized stabilization for Takagi-Sugeno (T-S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of the network. By taking the effect of the hybrid-triggered scheme and stochastic cyber-attacks into consideration, a mathematical model for a closed-loop control system with quantization is constructed. Theorems for main results are developed to guarantee the asymptotical stability of networked control systems by using Lyapunov stability theory and linear matrix inequality techniques. Based on the derived sufficient conditions in theorems, the controller gains are presented in an explicit form. Finally, two practical examples demonstrate the feasibility of designed algorithm. |
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| AbstractList | This paper examines quantized stabilization for Takagi-Sugeno (T-S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of the network. By taking the effect of the hybrid-triggered scheme and stochastic cyber-attacks into consideration, a mathematical model for a closed-loop control system with quantization is constructed. Theorems for main results are developed to guarantee the asymptotical stability of networked control systems by using Lyapunov stability theory and linear matrix inequality techniques. Based on the derived sufficient conditions in theorems, the controller gains are presented in an explicit form. Finally, two practical examples demonstrate the feasibility of designed algorithm. |
| Author | Fei, Shumin Liu, Jinliang Tian, Engang Wei, Lili Xie, Xiangpeng |
| Author_xml | – sequence: 1 givenname: Jinliang orcidid: 0000-0001-5489-0246 surname: Liu fullname: Liu, Jinliang email: liujinliang@vip.163.com organization: College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China – sequence: 2 givenname: Lili surname: Wei fullname: Wei, Lili email: wll150623@163.com organization: College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China – sequence: 3 givenname: Xiangpeng orcidid: 0000-0003-4822-3134 surname: Xie fullname: Xie, Xiangpeng email: xiexiangpeng1953@163.com organization: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Jiangsu, China – sequence: 4 givenname: Engang surname: Tian fullname: Tian, Engang email: teg@njnu.edu.cn organization: School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China – sequence: 5 givenname: Shumin orcidid: 0000-0003-1787-7653 surname: Fei fullname: Fei, Shumin email: smfei@seu.edu.cn organization: School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China |
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| Snippet | This paper examines quantized stabilization for Takagi-Sugeno (T-S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A... This paper examines quantized stabilization for Takagi–Sugeno (T–S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A... |
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| SubjectTerms | Control stability Control systems Cybersecurity Fuzzy systems Hybrid systems Hybrid-triggered scheme Mathematical analysis Mathematical model Matrix methods networked control systems (NCSs) Nonlinear systems Quantization (signal) Stabilization stochastic cyber-attacks Stochastic processes Symmetric matrices Takagi–Sugeno (T–S) fuzzy systems Theorems |
| Title | Quantized Stabilization for T-S Fuzzy Systems With Hybrid-Triggered Mechanism and Stochastic Cyber-Attacks |
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