Null-Space-Based Prescribed-Time Formation Control With Collision and Obstacle Avoidance

This paper studies the distributed prescribed-time formation tracking control for nonlinear second-order multi-agent systems with collision risk in a null-space-based behavioral control architecture. First, a simplified distributed observer is designed to accurately estimate the position information of a virtual leader within a prescribed time. Additionally, we introduce a switching mechanism and potential-like terms to design the desired states that can simultaneously achieve obstacle avoidance and formation. Subsequently, a sliding mode formation control scheme is proposed to track the desired trajectory generated by the null-space projection between behaviors. Utilizing Lyapunov stability theory, theoretical results for task design and trajectory tracking are obtained. Finally, numerical simulation verifies the effectiveness and superiority of the proposed method.

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Institutions

Publication Details

Journal
IEEE Transactions on Control of Network Systems
Published
2025-09-02
DOI
https://doi.org/10.1109/tcns.2025.3605111
Citations
2
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
2.97

Funders

Controls
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article

Null-Space-Based Prescribed-Time Formation Control With Collision and Obstacle Avoidance

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2 citations
IEEE Transactions on Control of Network Systems
Distributed Control Multi-Agent Systems
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article

Null-Space-Based Prescribed-Time Formation Control With Collision and Obstacle Avoidance

Qiang Xiao, Songqiying Yang, Zhigang Zeng, Tingwen Huang, Nikhil R. Pal
article en
2 citations

Abstract

This paper studies the distributed prescribed-time formation tracking control for nonlinear second-order multi-agent systems with collision risk in a null-space-based behavioral control architecture. First, a simplified distributed observer is designed to accurately estimate the position information of a virtual leader within a prescribed time. Additionally, we introduce a switching mechanism and potential-like terms to design the desired states that can simultaneously achieve obstacle avoidance and formation. Subsequently, a sliding mode formation control scheme is proposed to track the desired trajectory generated by the null-space projection between behaviors. Utilizing Lyapunov stability theory, theoretical results for task design and trajectory tracking are obtained. Finally, numerical simulation verifies the effectiveness and superiority of the proposed method.

IEEE Transactions on Control of Network SystemsVol. 12(4)
Techno India University (IN), Shenzhen University (CN), Shenzhen Technology University (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China Stem Cell and Translational Research
Openalex Percentile: Top 7%
Distributed Control Multi-Agent Systems
2.97
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