Improved Event-Triggered Dynamic Output Feedback Control for Networked T-S Fuzzy Systems With Actuator Failure and...

Area of Science:

• Control Systems Engineering
• Fuzzy Logic Systems
• Networked Systems

Background:

• Networked systems face challenges like resource constraints and security threats.
• Takagi-Sugeno (T-S) fuzzy systems are widely used for nonlinear system control.
• Event-triggered schemes (ETSs) aim to reduce network load but can cause system-controller mismatches.

Purpose of the Study:

• To design an event-triggered dynamic output feedback controller for networked T-S fuzzy systems.
• To address actuator failures and deception attacks simultaneously.
• To improve system stability and resource efficiency under network constraints.

Main Methods:

• Development of two event-triggered schemes (ETSs) for measurement and control input transmission.
• Introduction of an asynchronous premise reconstruction method to resolve system-controller mismatches.
• Application of Lyapunov stability theory for mean square asymptotic stability analysis.
• Co-design of controller gains and event-triggered parameters using linear matrix inequality (LMI) techniques.

Main Results:

• Derived stability conditions for the augmented system considering actuator failures and deception attacks.
• Successfully co-designed controller gains and event-triggered parameters.
• Demonstrated the effectiveness of the proposed methods through simulations on a cart-damper-spring system and a nonlinear mass-spring-damper system.

Conclusions:

• The proposed event-triggered dynamic output feedback controller effectively enhances stability and conserves network resources.
• The asynchronous premise reconstruction method successfully handles system-controller mismatches.
• The approach provides a robust solution for networked T-S fuzzy systems facing actuator failures and deception attacks.