A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints

Abstract A quasi‐differential type event‐triggered model predictive control (ET‐MPC) framework for continuous‐time linear systems with additional disturbances is constructed. Different from the existing ET‐MPC, the triggering condition of the proposed method is focused on the differences of the erro...

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Autores principales: Zhongxian Xu, Lile He, Ning He, Botao Bai
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Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/a7d7a37f8bca47af8acaa231565de46b
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spelling oai:doaj.org-article:a7d7a37f8bca47af8acaa231565de46b2021-11-18T06:47:31ZA quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints1751-86521751-864410.1049/cth2.12196https://doaj.org/article/a7d7a37f8bca47af8acaa231565de46b2021-12-01T00:00:00Zhttps://doi.org/10.1049/cth2.12196https://doaj.org/toc/1751-8644https://doaj.org/toc/1751-8652Abstract A quasi‐differential type event‐triggered model predictive control (ET‐MPC) framework for continuous‐time linear systems with additional disturbances is constructed. Different from the existing ET‐MPC, the triggering condition of the proposed method is focused on the differences of the errors between the actual states and the best prediction sequence at two consecutive sampling moments. Its advantage is that the dynamic characteristics of state changes can be better considered, which will achieve a more effective balance between communication load and system control performance. Then, to deal with persistent disturbances, a time‐varying tightening robustness state constraint is utilized in this scheme, instead of conventional state constraints. Finally, the new ET‐MPC algorithm is designed based on the dual‐mode control framework, and its feasibility, the system closed‐loop stability, as well as avoidance of Zeno behaviour are rigorously verified. Simulations and comparisons are provided to demonstrate the algorithm effectiveness.Zhongxian XuLile HeNing HeBotao BaiWileyarticleControl engineering systems. Automatic machinery (General)TJ212-225ENIET Control Theory & Applications, Vol 15, Iss 18, Pp 2334-2343 (2021)
institution DOAJ
collection DOAJ
language EN
topic Control engineering systems. Automatic machinery (General)
TJ212-225
spellingShingle Control engineering systems. Automatic machinery (General)
TJ212-225
Zhongxian Xu
Lile He
Ning He
Botao Bai
A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
description Abstract A quasi‐differential type event‐triggered model predictive control (ET‐MPC) framework for continuous‐time linear systems with additional disturbances is constructed. Different from the existing ET‐MPC, the triggering condition of the proposed method is focused on the differences of the errors between the actual states and the best prediction sequence at two consecutive sampling moments. Its advantage is that the dynamic characteristics of state changes can be better considered, which will achieve a more effective balance between communication load and system control performance. Then, to deal with persistent disturbances, a time‐varying tightening robustness state constraint is utilized in this scheme, instead of conventional state constraints. Finally, the new ET‐MPC algorithm is designed based on the dual‐mode control framework, and its feasibility, the system closed‐loop stability, as well as avoidance of Zeno behaviour are rigorously verified. Simulations and comparisons are provided to demonstrate the algorithm effectiveness.
format article
author Zhongxian Xu
Lile He
Ning He
Botao Bai
author_facet Zhongxian Xu
Lile He
Ning He
Botao Bai
author_sort Zhongxian Xu
title A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
title_short A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
title_full A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
title_fullStr A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
title_full_unstemmed A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
title_sort quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
publisher Wiley
publishDate 2021
url https://doaj.org/article/a7d7a37f8bca47af8acaa231565de46b
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