Stability Analysis of Connected Vehicle Platoons With Markovian Packet Losses
This article focuses on discussing the effects of inter-vehicular communication on the performance of platoon control. Different from the existing results established under a critical assumption that the fading channels are independent, this paper models the inter-vehicular communication as Markovian packet loss channel which can capture the temporal interdependencies of packet losses. Our aim is to decide whether there exists a distributed controller such that the underlying vehicle platoon can achieve mean square stability (MSS) over Markovian packet loss channels. First, for the scenario with identical Markovian packet losses, we begin by deriving a necessary and sufficient condition for the platoon MSS, which is established by utilizing the stability principles of Markov jump linear systems. Additionally, we propose a numerically verifiable criterion for MSS, which can be validated through the feasibility of linear matrix inequalities (LMIs). Furthermore, based on the modified Riccati inequality (MRI), we provide an analytical sufficient condition that ensures MSS for vehicle platoons. This condition is expressed in terms of the information flow topology (IFT) and the statistical parameters of Markov channels. Second, for the case with nonidentical packet dropouts, we introduce a Markovian loss channel based switching (MLCBS) model. Building upon this model, we further propose a sufficient conditon related to IFT and the transition probability matrix, and a distributed controller that is not only easy to implement but also enables the achievement of MSS for vehicle platoons with nonidentical packet dropouts. Ultimately, numerical experiments are performed to validate the obtained outcomes.
Authors
- Zeming Li (ORCID: https://orcid.org/0000-0002-5211-4582)
- Yilin Wu (ORCID: https://orcid.org/0000-0003-1721-1931)
- Zhiping Shen (ORCID: https://orcid.org/0000-0003-3013-8804)
- Xiaoyan Zhao (ORCID: https://orcid.org/0000-0001-8942-5061)
- Yonggui Liu (ORCID: https://orcid.org/0000-0001-6560-1593)
Institutions
- Guangdong University Of Finances and Economics (CN)
- Guangdong University of Education (CN)
- Henan Normal University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/jiot.2025.3557876
- Citations
- 2
- Primary Topic
- Traffic control and management
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province
- Basic and Applied Basic Research Foundation of Guangdong Province