Sampled-Data-Based Dissipative Stabilization of IT-2 TSFSs Via Fuzzy Adaptive Event-Triggered Protocol

Area of Science:

• Control Systems Engineering
• Fuzzy Logic Systems
• Networked Systems

Background:

• Networked control systems (NCS) face challenges from parameter uncertainties, network-induced delays (NIDs), and external disturbances.
• Existing control schemes struggle with the dynamic nature of fuzzy controllers and event-triggered thresholds in NCS.
• Dissipative stabilization problem (DSP) in uncertain NCS requires advanced control strategies to maintain performance and resource efficiency.

Purpose of the Study:

• To develop a novel fuzzy adaptive event-triggered control (FAETC) protocol for uncertain nonlinear NCS.
• To address the challenges posed by parameter uncertainties, NIDs, and external disturbances.
• To reduce communication resource utilization while ensuring desired control performance and system stability.

Main Methods:

• Utilizing interval type-2 (IT-2) Takagi-Sugeno (T-S) fuzzy models to capture system uncertainties.
• Designing a fuzzy adaptive event-triggered control (FAETC) protocol with a dynamic threshold.
• Employing fuzzy-logic techniques and the looped Lyapunov functional (LLF) approach to formulate control conditions.

Main Results:

• Sufficient conditions for dissipative stabilization and performance were formulated for the uncertain NCS.
• The proposed FAETC protocol effectively reduces communication resource utilization.
• The method maintains desired control performance in the presence of NIDs and external disturbances.

Conclusions:

• The developed FAETC protocol offers an effective solution for uncertain nonlinear NCS with NIDs.
• The approach successfully balances control performance with communication efficiency.
• Numerical validation confirms the feasibility and effectiveness of the proposed control strategy.