Yandong Li

Aug 7, 2024 | mdpi.com | Yandong Li |Yongan Liu |Ling Zhu |Zehua Zhang

1. IntroductionDue to rapid advancements in science, technology, and evolving societal needs, researchers have consistently prioritized the collaborative control of multi-agent systems. Especially in recent years, rapid development has been seen. It has achieved a large number of application results in the field of engineering, such as UAV formation [1,2], intelligent city traffic [3], smart grid [4,5], etc.

Jul 16, 2024 | preprints.org | Yandong Li |Yongan Liu |Ling Zhu |Zehua Zhang

PreprintArticleVersion 1This version is not peer-reviewedVersion 1: Received: 16 July 2024 / Approved: 16 July 2024 / Online: 16 July 2024 (12:28:05 CEST)Li, Y.; Liu, Y.; Zhu, L.; Zhang, Z. Fault-Tolerant Optimal Consensus Control for Heterogeneous Multi-agent System. Preprints 2024, 2024071332. https://doi.org/10.20944/preprints202407.1332.v1Li, Y.; Liu, Y.; Zhu, L.; Zhang, Z. Fault-Tolerant Optimal Consensus Control for Heterogeneous Multi-agent System. Preprints 2024, 2024071332.

Mar 24, 2023 | mdpi.com | Meichen Liu |Yandong Li |Ling Zhu |Yuan Guo

Abstract:In this paper, cooperative control and optimal control methods are used for the formation control of mixed-order heterogeneous multi-agent systems. The system consists of unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater vehicles (UUVs). The system is represented in a state space using a block Kronecker product.