Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion

Liu, Lei, Liu, Yan-Jun, Tong, Shaocheng and Gao, Zhiwei (2021) Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion. IEEE Transactions on Industrial Informatics. pp. 1-10. ISSN 1551-3203 (In Press)

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Official URL: https://doi.org/10.1109/tii.2021.3080841

Abstract

This paper concentrates upon the event-driven controller design problem for a class of nonlinear single input single output (SISO) parametric systems with full state constraints. A varying threshold for the triggering mechanism is exploited, which makes the communication more flexible. Moreover, from the viewpoint of energy conservation and consumption reduction, the system capability becomes better owing to the contribution of the proposed event triggered mechanism. In the meantime, the developed control strategy can avoid the Zeno behavior since the lower bound of the sample time is provided. The considered plant is in a lower-triangular form, in which the match condition is not satisfied. To ensure that all the states to retain in a predefined region, a barrier Lyapunov function (BLF) based adaptive control law is developed. Due to the existence of the parametric uncertainties, an adaptive algorithm is presented as an estimated tool. All the signals appearing in the closed-loop systems are then proven to be uniformly ultimately bounded (UUB). Meanwhile, the output of the system can track a given signal as far as possible. In the end, the effectiveness of the proposed approach is validated by an aircraft wing rock motion system.

Item Type: Article
Additional Information: Funding information: This work is supported in part by the National Natural Science Foundation of China under Grants 61803190, 62025303, and 61973147, in part by the Open Foundation of State Key Laboratory of Process Automation in Mining & Metallurgy under Grant BGRIMM-KZSKL-2020-07, in part by the LiaoNing Revitalization Talents Program under Grant XLYC1907050.
Subjects: G400 Computer Science
G500 Information Systems
G600 Software Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 18 Jun 2021 12:59
Last Modified: 18 Jun 2021 13:00
URI: http://nrl.northumbria.ac.uk/id/eprint/46486

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