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Adaptive backstepping control for nonlinear interconnected systems with prespecified-performance-driven output triggering
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DOI：10.1016/j.automatica.2023.111063.png)
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摘要
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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.(c) 2023 Published by Elsevier Ltd.
Keyword:
Event-triggered control
Adaptive control
Nonlinear systems
Transient performance
期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
引用论文
Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems
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