International Journal of Applied Mathematics and Computer Science (Sep 2022)

Decentralized Multi–Agent Formation Control with Pole–Region Placement via Cone–Complementarity Linearization

  • González Antonio,
  • Sala Antonio,
  • Armesto Leopoldo

DOI
https://doi.org/10.34768/amcs-2022-0030
Journal volume & issue
Vol. 32, no. 3
pp. 415 – 428

Abstract

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An output-feedback decentralised formation control strategy is pursued under pole-region constraints, assuming that the agents have access to relative position measurements with respect to a set of neighbors in a graph describing the sensing topology. No communication between the agents is assumed; however, a shared one-way communication channel with a pilot is needed for steering tasks. Each agent has a separate copy of the same controller. A virtual structure approach is presented for the formation steering as a whole; actual formation control is established via cone-complementarity linearization algorithms for the appropriate matrix inequalities. In contrast to other research where only stable consensus is pursued, the proposed method allows us to specify settling-time, damping and bandwidth limitations via pole regions. In addition, a full methodology for the decoupled handling of steering and formation control is provided. Simulation results in the example section illustrate the approach.

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