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Prescribed performance formation control for second-order multi-agent systems with connectivity and collision constraints
School of Automation, Beijing Institute of Technology, Beijing 100081, P. R. China; Department of Precision Instrument, Tsinghua University, Beijing 100084, P. R. China..
Department of Precision Instrument, Tsinghua University, Beijing 100084, P. R. China..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-7309-8086
2024 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 160, article id 111412Article in journal (Refereed) Published
Abstract [en]

This paper studies the distributed formation control problem of second-order multi-agent systems (MASs) with limited communication ranges and collision avoidance constraints. A novel connectivity preservation and collision-free distributed control algorithm is proposed by combining prescribed performance control (PPC) and exponential zeroing control barrier Lyapunov functions (EZCBFs). In particular, we impose the time-varying performance constraints on the relative position and velocity errors between the neighboring agents, and then a PPC-based formation control algorithm is developed such that the connectivity of the communication graph can be preserved at all times, and the prescribed transient and steady performance on the relative position and velocity error can be achieved. Subsequently, by introducing the EZCBFs method, an inequality constraint condition on the control input is derived to guarantee the collision-free formation motion. By regarding the PPC-based formation controller as a nominal input, an actual formation control input is given by solving the quadratic programming (QP) problem such that each agent achieves collision-free formation motion while guaranteeing the connectivity and prescribed performance as much as possible. Finally, numerical simulation is carried out to validate the effectiveness of the proposed algorithm.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 160, article id 111412
Keywords [en]
Collision avoidance, Connectivity preservation, Control barrier function, Distributed formation control, Prescribed performance control
National Category
Control Engineering Robotics and automation
Identifiers
URN: urn:nbn:se:kth:diva-340286DOI: 10.1016/j.automatica.2023.111412Scopus ID: 2-s2.0-85177233561OAI: oai:DiVA.org:kth-340286DiVA, id: diva2:1816143
Note

QC 20231201

Available from: 2023-12-01 Created: 2023-12-01 Last updated: 2025-02-05Bibliographically approved

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Dimarogonas, Dimos V.

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