Dynamic Event-Triggered Impulsive Tracking Control of Strict-Feedback Nonlinear Systems: A Gain Scaling Approach

• 成果类型: Article
• 署名作者: Pan, Weihao; Zhang, Xianfu; Fan, Debao; Feng, Gang
• 署名单位: Shandong University; City University of Hong Kong
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3407628
• 发表日期: 2024
• 页码: 8034-8040
• 关键词: Nonlinear dynamical systems; Backstepping; control design; iterative methods; Fans; chemicals; Urban areas; Dynamic event-triggered impulsive control; gain scaling approach; strict-feedback nonlinear systems; tracking control

摘要

This note presents a gain scaling approach to the dynamic event-triggered impulsive tracking control problem for strict-feedback nonlinear systems. The nonlinear growth rate under consideration is allowed to contain a continuous function of the system output, and the problem has not been considered under the existing impulsive control framework. By constructing a state transformation, a novel dynamic event-triggered impulsive tracking controller is designed. It is proved that the proposed impulsive controller ensures that the tracking error ultimately converges to an adjustable bounded neighborhood of the origin, and all the signals of the resulting closed-loop system are bounded. Furthermore, by introducing a class of shifting functions, an improved dynamic event-triggered impulsive tracking controller is developed to improve tracking performance. Finally, the effectiveness of the proposed impulsive control schemes is illustrated through a simulation example.