Finite-time command filtered event-triggered adaptive output feedback control for nonlinear systems with unknown dead-zone constraints

This paper addresses the design of neural network observer and adaptive finite-time tracking controller for uncertain nonlinear with event-triggered inputs and unknown dead-zone constraints. To shorten the convergence time and reduce the computational burden, the finite-time command filter backstepp...

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Bibliographic Details
Published in:Information sciences 2022-12, Vol.617, p.482-497
Main Authors: Yu, Qingkun, He, Xiqin, Wu, Libing, Guo, Liangdong
Format: Article
Language:English
Subjects:
Command filter backstepping(CFB)
Dead-zone
Event-triggered control (ETC)
Finite-time convergence
Output feedback control
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Summary:This paper addresses the design of neural network observer and adaptive finite-time tracking controller for uncertain nonlinear with event-triggered inputs and unknown dead-zone constraints. To shorten the convergence time and reduce the computational burden, the finite-time command filter backstepping (CFB) technique is modified by improving the error compensation term, and a novel adaptive output feedback event triggering mechanism is developed in this way. It is proven that the newly presented control strategy achieves the goal of finite-time convergence and effectively saves network bandwidth. Meanwhile, all of the closed-loop signals are bounded, and the tracking performance is guaranteed based on the finite-time CFB method avoiding the problem of complexity explosion. Finally, a practical example is included to verify the validity of the proposed theoretical results.
ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2022.09.008