Observer-Based Non-PDC Control for Networked T-S Fuzzy Systems With an Event-Triggered Communication

Area of Science:

• Control Systems Engineering
• Fuzzy Logic Systems
• Networked Systems

Background:

• Networked control systems face challenges with limited bandwidth and imperfect premise matching.
• Traditional parallel distribution compensation (PDC) requires synchronous premises, limiting flexibility.

Purpose of the Study:

• To develop an event-triggered non-PDC control strategy for Takagi-Sugeno (T-S) fuzzy systems.
• To address limited network resources and imperfect premise matching in control design.

Main Methods:

• A unified event-triggered T-S fuzzy model incorporating a fuzzy observer and an output-based event-triggering scheme.
• Lyapunov theory to derive stability criteria and stabilization conditions.
• Design of a fuzzy controller with imperfect premise matching, eliminating the need for synchronous premises.

Main Results:

• A novel event-triggered non-PDC control scheme is proposed for networked T-S fuzzy systems.
• Stability criteria and stabilization conditions are established, considering imperfect premise matching.
• The proposed method enhances design flexibility and reduces conservatism compared to existing approaches.

Conclusions:

• The developed event-triggered control scheme effectively manages network resources and ensures system stability.
• The non-PDC approach offers greater design flexibility by removing the synchronous premise requirement.
• The truck-trailer system example validates the practical applicability of the proposed control strategy.