A Prerouted Searching Approach to Adaptive Event-Triggered Control of Uncertain Nonlinearly Parameterized Systems

• 成果类型: Article
• 署名作者: Wang, Yutian; Li, Huanhuan; Jin, Zhenghong; Jiang, Yi; Vardulakis, Antonis I. G.
• 署名单位: University of Cyprus; Henan University of Technology; Nanyang Technological University; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Aristotle University of Thessaloniki
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3608011
• 发表日期: 2026
• 关键词: stability; stabilization

摘要

This article presents a generic design approach to the adaptive event-triggered control for a class of nonlinear systems subject to nonlinearly appearing unknown parameters and uncertain nonlinearities. The overall event-triggered control strategy relies on the co-design consisting of parameterized control laws, a parameter switching logic, and an event-triggered sampling mechanism, which guarantees that all the closed-loop states are bounded and the plant state asymptotically converges to the origin without infinitely fast sampling. Our proposed control algorithm is validated by a small-gain-based systematic control design for the FitzHugh-Nagumo neural system, in which the simulation results demonstrate that a slight modification of the proposed algorithm can even cope with the system with unknown control direction.