Event-Triggered Nonlinear Control With Reset Dynamics

• 成果类型: Article
• 署名作者: Zhu, Lijun; Chen, Zhiyong
• 署名单位: Huazhong University of Science & Technology; University of Newcastle
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3559820
• 发表日期: 2025
• 页码: 6292-6299
• 关键词: Event detection; Lyapunov methods; Closed loop systems; Adaptive control; Nonlinear systems; asymptotic stability; vectors; training; Numerical stability; gold; event-triggered control; reset dynamics

摘要

In this article, we propose an improved event-triggered control law based on the Lyapunov function method for a class of nonlinear systems by integrating a monotonically decreasing dynamics with a reset mechanism at each sampling instance. It is rigorously guaranteed that the sampling interval can be increased compared to a recently designed Lyapunov-function-based event-triggered control law when adopted at each step, while the advantages compared with other existing event-triggered control laws are maintained. Then, the improved event-triggered law is applied in the adaptive control scheme. Finally, it is verified by numerical examples that the sampling efficiency is improved when the design parameter is appropriately chosen.