Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks
This article investigates the issue of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> securi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/12/21/3385 |
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| author | Xi-Ming Liu Xiao-Heng Chang Li-Wei Hou |
| author_facet | Xi-Ming Liu Xiao-Heng Chang Li-Wei Hou |
| author_sort | Xi-Ming Liu |
| collection | DOAJ |
| description | This article investigates the issue of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> security output feedback control for a nonlinear networked cascade control system with deception attacks. First, to further reduce the amount of communication data, reasonably schedule network resources, and alleviate the impact of multi-channel deception attacks, an attack-dependent adaptive event-triggered mechanism is introduced into the primary network channel, and its adaptive triggered threshold can be adjusted according to the random attack probability. Secondly, the output dynamic quantization of the secondary network channel is considered. Then, a novel security cascade output feedback controller design framework based on the Takagi–Sugeno (T-S) fuzzy networked cascade control system under deception attacks is established. In addition, by introducing the Lyapunov–Krasovskii stability theory, the design conditions of the controller are given. Finally, the effectiveness and superiority of the proposed design strategies are verified by two simulation examples of power plant boiler–turbine system and power plant boiler power generation control system. |
| format | Article |
| id | doaj-art-90e55781523b4fdfa842f06a229eff4f |
| institution | Kabale University |
| issn | 2227-7390 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-90e55781523b4fdfa842f06a229eff4f2024-11-08T14:37:44ZengMDPI AGMathematics2227-73902024-10-011221338510.3390/math12213385Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception AttacksXi-Ming Liu0Xiao-Heng Chang1Li-Wei Hou2School of Control Science and Engineering, Bohai University, Jinzhou 121013, ChinaSchool of Control Science and Engineering, Bohai University, Jinzhou 121013, ChinaSchool of Control Science and Engineering, Bohai University, Jinzhou 121013, ChinaThis article investigates the issue of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> security output feedback control for a nonlinear networked cascade control system with deception attacks. First, to further reduce the amount of communication data, reasonably schedule network resources, and alleviate the impact of multi-channel deception attacks, an attack-dependent adaptive event-triggered mechanism is introduced into the primary network channel, and its adaptive triggered threshold can be adjusted according to the random attack probability. Secondly, the output dynamic quantization of the secondary network channel is considered. Then, a novel security cascade output feedback controller design framework based on the Takagi–Sugeno (T-S) fuzzy networked cascade control system under deception attacks is established. In addition, by introducing the Lyapunov–Krasovskii stability theory, the design conditions of the controller are given. Finally, the effectiveness and superiority of the proposed design strategies are verified by two simulation examples of power plant boiler–turbine system and power plant boiler power generation control system.https://www.mdpi.com/2227-7390/12/21/3385nonlinear networked cascade control systemattacks-dependent adaptive event-triggered mechanismdynamic quantizationdeception attacks |
| spellingShingle | Xi-Ming Liu Xiao-Heng Chang Li-Wei Hou Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks Mathematics nonlinear networked cascade control system attacks-dependent adaptive event-triggered mechanism dynamic quantization deception attacks |
| title | Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks |
| title_full | Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks |
| title_fullStr | Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks |
| title_full_unstemmed | Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks |
| title_short | Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks |
| title_sort | attack dependent adaptive event triggered security fuzzy control for nonlinear networked cascade control systems under deception attacks |
| topic | nonlinear networked cascade control system attacks-dependent adaptive event-triggered mechanism dynamic quantization deception attacks |
| url | https://www.mdpi.com/2227-7390/12/21/3385 |
| work_keys_str_mv | AT ximingliu attackdependentadaptiveeventtriggeredsecurityfuzzycontrolfornonlinearnetworkedcascadecontrolsystemsunderdeceptionattacks AT xiaohengchang attackdependentadaptiveeventtriggeredsecurityfuzzycontrolfornonlinearnetworkedcascadecontrolsystemsunderdeceptionattacks AT liweihou attackdependentadaptiveeventtriggeredsecurityfuzzycontrolfornonlinearnetworkedcascadecontrolsystemsunderdeceptionattacks |