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Observer-based guaranteed cost control for networked interval type-2 T-S fuzzy systems with stealthy DoS attacks and
Shiyi Fan1, Xiaoming Tang1, Xi Su1
1The Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China; The College of Automation and Advanced Scientic Research Institute, Chongqing University of Posts and Telecommunications, Chongqing, China.
This study presents a guaranteed cost control method for interval type-2 fuzzy systems facing denial-of-service attacks. The approach ensures stability in networked control systems using a hybrid-triggered mechanism.
Area of Science:
- Control Systems Engineering
- Fuzzy Logic Systems
- Networked Control Systems
Background:
- Networked control systems (NCSs) face challenges from cyberattacks like denial-of-service (DoS) and network burden.
- Interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems offer enhanced uncertainty handling capabilities.
- Dynamic hybrid-triggered mechanisms are crucial for efficient NCS operation.
Purpose of the Study:
- To develop a guaranteed cost control method for output feedback IT2 T-S fuzzy systems.
- To address stealthy DoS attacks and bounded disturbances in NCSs.
- To integrate a dynamic hybrid-triggered mechanism for reduced network load.
Main Methods:
- Utilizing a dynamic hybrid-triggered mechanism combining time- and event-triggered approaches.
- Employing the quadratic boundedness (QB) technique to demonstrate closed-loop stability.
- Applying Lyapunov stability theory to derive conditions for system stability and controller existence.
Main Results:
- Sufficient conditions for the stability of the considered NCS were established.
- The existence of an observer-based output feedback guaranteed cost controller was proven.
- The proposed control strategy demonstrated feasibility through simulation examples.
Conclusions:
- The developed guaranteed cost control method effectively addresses DoS attacks and disturbances in IT2 T-S fuzzy NCSs.
- The dynamic hybrid-triggered mechanism enhances NCS efficiency by reducing network transmission burden.
- The proposed strategy ensures system stability and controller existence, validated by simulations.
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