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Circular Formation Control with Collision Avoidance Based on Probabilistic Position

Hamida Litimein1, Zhen-You Huang1, Muhammad Shamrooz Aslam2,*

1 Department of Applied Mathematics, School of Science, Nanjing University of Science and Technology, Nanjing, 210094, China
2 School of Automation, Guangxi University of Science and Technology, Liuzhou, 545006, China

* Corresponding Author: Muhammad Shamrooz Aslam. Email: email

Intelligent Automation & Soft Computing 2023, 37(1), 321-341. https://doi.org/10.32604/iasc.2023.036786

Abstract

In this paper, we study the circular formation problem for the second-order multi-agent systems in a plane, in which the agents maintain a circular formation based on a probabilistic position. A distributed hybrid control protocol based on a probabilistic position is designed to achieve circular formation stabilization and consensus. In the current framework, the mobile agents follow the following rules: 1) the agent must follow a circular trajectory; 2) all the agents in the same circular trajectory must have the same direction. The formation control objective includes two parts: 1) drive all the agents to the circular formation; 2) avoid a collision. Based on Lyapunov methods, convergence and stability of the proposed circular formation protocol are provided. Due to limitations in collision avoidance, we extend the results to LaSalle’s invariance principle. Some theoretical examples and numerical simulations show the effectiveness of the proposed scheme.

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APA Style
Litimein, H., Huang, Z., Aslam, M.S. (2023). Circular formation control with collision avoidance based on probabilistic position. Intelligent Automation & Soft Computing, 37(1), 321-341. https://doi.org/10.32604/iasc.2023.036786
Vancouver Style
Litimein H, Huang Z, Aslam MS. Circular formation control with collision avoidance based on probabilistic position. Intell Automat Soft Comput . 2023;37(1):321-341 https://doi.org/10.32604/iasc.2023.036786
IEEE Style
H. Litimein, Z. Huang, and M.S. Aslam "Circular Formation Control with Collision Avoidance Based on Probabilistic Position," Intell. Automat. Soft Comput. , vol. 37, no. 1, pp. 321-341. 2023. https://doi.org/10.32604/iasc.2023.036786



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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