Gene

Fuzzy control system

Quantum mechanics

Adaptive control

Control (management)

Robust control

Robustness (evolution)

Adaptive system

Biochemistry

Computer science

Tracking error

Physics

Nonlinear system

Mathematics

Fuzzy logic

Artificial intelligence

Observer (physics)

Chemistry

Control theory (sociology)

IEEE Transactions on Fuzzy Systems

In this article, an event-triggered robust fuzzy adaptive prescribed performance finite-time control strategy is presented for a class of strict-feedback nonlinear systems with external disturbances. The relative-threshold-based event-triggered signal is introduced to reduce communication burden, and the dynamic surface control technique is applied to address the computational complexity problem. A disturbance observer is designed to estimate the compounded disturbances, which are composed of external disturbances and fuzzy approximation errors. The proposed control strategy can guarantee that the closed-loop system is semiglobally practically finite-time stable, and the tracking error converges to a small residual set by incorporating the prescribed performance bound in finite-time. Finally, simulation results are provided to verify the effectiveness of the proposed robust fuzzy control strategy.

Event-Triggered Robust Fuzzy Adaptive Finite-Time Control of Nonlinear Systems With Prescribed Performance