Fuzzy control system

Quantum mechanics

Algorithm

Control (management)

Scheme (mathematics)

Event (particle physics)

Operating system

Computer science

Mathematical optimization

Geology

Reachability

Paleontology

Type (biology)

Physics

Nonlinear system

Sliding mode control

Mathematics

Fuzzy logic

Mathematical analysis

Artificial intelligence

Interval (graph theory)

Combinatorics

Control theory (sociology)

Mode (computer interface)

IEEE Transactions on Cybernetics

This article investigates the sliding-mode control issue for interval type-2 (IT2) T-S fuzzy systems under limited communication resources. An event-triggering weight try-once-discard (ET-WTOD) protocol is formulated via two thresholds to determine the transmission of the state signal. The proposed ET-WTOD protocol can dynamically adjust the transmitted nodes and permits only partial components with larger error to be sent at each triggering instant, which is just the key distinction from the existing protocols. Under the imperfect premise matching framework, the controller's membership functions are reconstructed via the received state and the known upper and lower bounds, and then, a new scheduling signal set is established to design the scheduling-signal-dependent fuzzy sliding-mode controller. With the aid of the membership-function-dependent approach, the mismatching premise variables of the fuzzy model and the controller are effectively handled by introducing some slack matrices, while the relaxed stability conditions are derived to ensure the stability of the closed-loop system and the reachability of the specified sliding surface. Moreover, an optimized sliding domain is further obtained via the genetic algorithm (GA). Finally, the proposed control strategy is verified via the mass-spring-damper system.

Sliding-Mode Control for Interval Type-2 Fuzzy Systems: Event-Triggering WTOD Scheme