Adaptive backstepping control for nonlinear interconnected systems with prespecified-performance-driven output triggering

反推 控制理论(社会学) 控制器(灌溉) 跟踪误差 非线性系统 计算机科学 补偿(心理学) 瞬态(计算机编程) 信号(编程语言) 理论(学习稳定性) 控制工程 自适应控制 控制(管理) 工程类 人工智能 程序设计语言 物理 农学 机器学习 操作系统 生物 量子力学 心理学 精神分析
作者
Lili Zhang,Chao Deng,Wei‐Wei Che,Liwei An
出处
期刊:Automatica [Elsevier BV]
卷期号:154: 111063-111063 被引量:79
标识
DOI:10.1016/j.automatica.2023.111063
摘要

This paper considers a class of nonlinear large-scale interconnected systems and proposes an event-triggered decentralized controller by using adaptive output feedback backstepping. To save the communication resource, the output measurements are transmitted to the controller based on a novel double-events-triggered (DET) mechanism driven by transient performance request. Due to the use of triggered mechanism, only discontinuous output signals can be utilized such that the derived virtual controls are discontinuous, of which the derivatives cannot be computed as often done in standard backstepping design procedure. To overcome this difficulty, a new error signal decomposition and compensation mechanism is proposed to quantify and compensate for the difference between the virtual controls derived by using the event-triggered measurement signals and the real-time system outputs. Through a nonsmooth stability analysis where the closed-loop stability is considered under different conditions of output data transmissions, it is shown that the tracking error remains within a prespecified performance bound all the time. In contrast to the existing backstepping results addressing event-triggered outputs, the designed DET mechanism does not require the virtual control signals to be reversely transmitted to the sensor side from the controller side and guarantees the communication burden can be reduced under tracking performance guarantees.
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