Formation control of high-order linear discrete-time multiple unmanned aerial vehicles systems in noisy environments

Formation control of high-order linear discrete-time multiple unmanned aerial vehicles (multi-UAVs) systems with multiplicative noises is studied in this article. Because of the existence of multiplicative noises, classical methods for discrete-time system control problems should be improved. Here, we develop a new discrete-time formation protocol for multi-UAVs systems. The stochastic Lyapunov stability theory and the positive definiteness theory of a generalized algebraic Riccati equation are then used to derive sufficient conditions for formation feasibility.

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Publication Details

Journal
International Journal of Systems Science
Published
2024-08-21
DOI
https://doi.org/10.1080/00207721.2024.2393686
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
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article

Formation control of high-order linear discrete-time multiple unmanned aerial vehicles systems in noisy environments

Xiaofeng Zong, Ling-Jie Gai, Mingyu Wang, Zixuan Wang
1 citations
International Journal of Systems Science
Distributed Control Multi-Agent Systems
0.35
article

Formation control of high-order linear discrete-time multiple unmanned aerial vehicles systems in noisy environments

Xiaofeng Zong, Ling-Jie Gai, Mingyu Wang, Zixuan Wang
article en
1 citations

Abstract

Formation control of high-order linear discrete-time multiple unmanned aerial vehicles (multi-UAVs) systems with multiplicative noises is studied in this article. Because of the existence of multiplicative noises, classical methods for discrete-time system control problems should be improved. Here, we develop a new discrete-time formation protocol for multi-UAVs systems. The stochastic Lyapunov stability theory and the positive definiteness theory of a generalized algebraic Riccati equation are then used to derive sufficient conditions for formation feasibility.

International Journal of Systems ScienceVol. 56(2)
Ministry of Education of the People's Republic of China (CN), China University of Geosciences (CN), Shandong Institute of Automation (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, China University of Geosciences, Wuhan
Openalex Percentile: Top 40%
Distributed Control Multi-Agent Systems
0.35
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Formation control of high-order linear discrete-time multiple unmanned aerial vehicles systems in noisy environments — Xiaofeng Zong, Ling-Jie Gai, et al. · International Journal of Systems Science (2024) | TGRS Research Map | TGRS