LMI -based formation control with collision avoidance for air-ground fleet

This paper proposes a formation controller for a fleet composed of two unicycles and a quadcopter. The formation problem is defined as a min-max problem whose optimal control strategy is linear in the local measurements of each agent, and the matrix gains are obtained by solving a Linear Matrix Inequality. Artificial repulsive forces are added to avoid inter-agent collisions and obstacles. The proposed control scheme was validated both in simulation and through several experiments, involving both static and dynamic obstacles. The results show that the agents can achieve the formation without crashes.

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Publication Details

Journal
Control Engineering Practice
Published
2026-04-16
DOI
https://doi.org/10.1016/j.conengprac.2026.107007
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

LMI -based formation control with collision avoidance for air-ground fleet

J. Cariño, Enrico Zero, A. Morando, Roberto Sacile
Control Engineering Practice
Distributed Control Multi-Agent Systems
article

LMI -based formation control with collision avoidance for air-ground fleet

J. Cariño, Enrico Zero, A. Morando, Roberto Sacile
article en

Abstract

This paper proposes a formation controller for a fleet composed of two unicycles and a quadcopter. The formation problem is defined as a min-max problem whose optimal control strategy is linear in the local measurements of each agent, and the matrix gains are obtained by solving a Linear Matrix Inequality. Artificial repulsive forces are added to avoid inter-agent collisions and obstacles. The proposed control scheme was validated both in simulation and through several experiments, involving both static and dynamic obstacles. The results show that the agents can achieve the formation without crashes.

Control Engineering PracticeVol. 173
Université de Technologie de Compiègne (FR), Centre National de la Recherche Scientifique (FR), University of Genoa (IT)
Climate action
Openalex Percentile: Top 10%
Distributed Control Multi-Agent Systems
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LMI -based formation control with collision avoidance for air-ground fleet — J. Cariño, Enrico Zero, et al. · Control Engineering Practice (2026) | TGRS Research Map | TGRS