Special Session 196: Control-Theoretic Analysis of Nonlinear and Uncertain Systems with Data-Driven and Learning Mechanisms

Adaptive Event-Triggered Control for High-Order Nonlinear Impulsive Systems Subjects to Parametric Uncertainty and External Disturbance
Xuefang Li
Sun Yat-sen University
Peoples Rep of China
Co-Author(s):    Yuanen Li, Xuefang Li, Wanquan Liu
Abstract:
This paper investigates adaptive event-triggered control for high-order nonlinear impulsive systems with parametric uncertainty and external disturbance. Existing stabilization methods for nonlinear impulsive systems are typically developed using first-order state-space models, which become impractical for high-order nonlinear impulsive systems due to the increased system dimension and the resulting complexity in controller design. To address this issue, a high-order fully actuated system approach-based adaptive control strategy is developed, enabling direct stabilization without order reduction. An event-triggered mechanism is jointly designed to reduce unnecessary control updates and communication load. The proposed method guarantees stability and boundedness of all closed-loop signals under impulsive effects. Simulation results validate the effectiveness of the approach.