Fuzzy control system

Quantum mechanics

Adaptive control

Control (management)

Engineering

Philosophy

Control system

Computer science

A priori and a posteriori

Tracking error

Physics

Nonlinear system

Mathematics

Fuzzy logic

Epistemology

Artificial intelligence

Observer (physics)

Control theory (sociology)

Electrical engineering

IEEE Transactions on Fuzzy Systems

This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states. Fuzzy logic systems are adopted to approximate unknown smooth functions and a fuzzy state observer is designed to estimate unmeasured states. Via the event-triggered control technique, the control signal of the fixed threshold strategy is obtained. By converting the tracking error into a new virtual error variable, an observer-based fuzzy adaptive event-triggered prescribed performance control strategy is designed. The key advantage is that the proposed method does not require a priori knowledge of partial derivatives of system functions, i.e., it relaxes the restrictive condition that the partial derivatives of system functions need to be known for pure-feedback nonlinear systems. Simulation results confirm the efficiency of the proposed method.

Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance