Dual-Channel Event-Triggered Robust Adaptive Control of Strict-Feedback System With Flexible Prescribed Performance

• 成果类型: Article
• 署名作者: Li, Lianhua; Zhao, Kai; Zhang, Zhirong; Song, Yongduan
• 署名单位: Chongqing University; University of Macau
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3328167
• 发表日期: 2024
• 页码: 1752-1759
• 关键词: Adaptive backstepping control; event triggering; prescribed performance; strict-feedback systems

摘要

In this note, we present an event-triggered robust adaptive control method with flexible prescribed performance for strict-feedback nonlinear systems. Unlike most existing event-triggered control results with only the inputs being triggered, here we introduce a triggering mechanism into the control law and the parameter estimator simultaneously, so that the communication resources are saved. It is worth noting that under the proposed triggering conditions, there are some challenges and difficulties in directly applying the backstepping technique, as the intermittent (triggering) parameter adaptive law introduces additional sampling errors. To address this issue, a decomposition technique for the event-triggered adaptive law and a new lemma for handling the event error are introduced, with which the execution error is gracefully counteracted with a properly designed compensation unit. Moreover, to ensure the flexible prescribed tracking performance, we incorporate a series of functional transformations into the control design. It is shown that, with the fixed control structure, only by adjusting the key parameters and time-varying function, the proposed control can generate multiple kinds of prescribed performance behaviors, which is more general and flexible than the existing prescribed performance controls. The effectiveness of our control scheme is verified by simulation results.