Physics

Nonlinear system

Tracking error

Pedagogy

Mathematics

Agronomy

Evolutionary biology

Biology

Mathematical analysis

Function (biology)

Artificial intelligence

Psychology

Controller (irrigation)

Control (management)

Tracking (education)

Computer science

Quantum mechanics

Bounded function

Control theory (sociology)

Fuzzy logic

Lyapunov function

Uniform boundedness

IEEE Transactions on Cybernetics

This article considers the problem of fixed-time prescribed event-triggered adaptive asymptotic tracking control for nonlinear pure-feedback systems with uncertain disturbances. The fuzzy-logic system (FLS) is introduced to deal with the unknown nonlinear functions in the system. By constructing a new type of Lyapunov function, the restrictive requirement that the upper bounds of the partial derivative of the unknown system functions need to be known is relaxed during the controller design process. At the same time, by developing a novel fixed-time performance function (FPF), the fixed-time prescribed performance (FPP) can be achieved, that is, the tracking error can converge to the neighborhood of the origin in a fixed time and finally converges to zero asymptotically. In addition, the event-triggered strategy is developed to reduce the waste of communication resources. The proposed control law can ensure that all the signals of the system are bounded. Meanwhile, the Zeno behavior can be effectively avoided. Finally, an example is provided to prove the effectiveness of the proposed scheme.

Event-Triggered Adaptive Fuzzy Asymptotic Tracking Control of Nonlinear Pure-Feedback Systems With Prescribed Performance