A Tight Adaptive Event-Triggered Controller With Global Prescribed Tracking Performance.

Area of Science:

• Control Systems Engineering
• Nonlinear Dynamics
• Adaptive Control Theory

Background:

• Existing control methods for uncertain nonlinear systems often exhibit conservatism.
• Funnel control (FC) discards information on system nonlinearities, leading to reduced efficiency.
• Event-triggered control strategies aim to improve communication efficiency in control systems.

Purpose of the Study:

• To propose a new adaptive event-triggered controller with prescribed tracking performance for uncertain nonlinear systems.
• To design a global controller that eliminates initial-condition dependence on the performance function.
• To reduce controller conservatism through novel design techniques.

Main Methods:

• The controller fully leverages available information on system nonlinearities.
• Dedicated dynamic compensations with tuning functions are introduced to handle uncertainties.
• A double-sided event-triggering mechanism is developed for sensor-to-controller communication.

Main Results:

• The proposed controller achieves prescribed tracking performance for uncertain nonlinear systems.
• Conservatism is reduced by avoiding discarding nonlinearity information and minimizing conservative parameter bounds.
• The event-triggered scheme enhances communication efficiency, demonstrated on a pendulum system.

Conclusions:

• The novel adaptive event-triggered controller offers improved performance and reduced conservatism.
• The design effectively counteracts system nonlinearities and intrinsic uncertainties.
• The method is validated for its effectiveness and superiority on a classical pendulum system.