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Cited by 257

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics

Open access
Ferrari-Trecate, G., Galbusera, L., Marciandi, M.P.E., Scattolini, R.·2009·IEEE Transactions on Automatic Control

Abstract

In this paper, we address the problem of driving a group of agents towards a consensus point when the agents have a discrete-time single- or double-integrator dynamics and the communication network is time-varying. We propose decentralized model predictive control schemes that take into account constraints on the agents' input and show that they guarantee consensus under mild assumptions. Since the global cost does not decrease monotonically, it cannot be used as a Lyapunov function for proving convergence to consensus. For this reason, our proofs exploit geometric properties of the optimal path followed by individual agents.

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Metadata

Authors
Ferrari-Trecate, G., Galbusera, L., Marciandi, M. P. E., & Scattolini, R.
Venue
IEEE Transactions on Automatic Control
Published
2009-11
Volume
54
Issue
11
Pages
2560-2572
ISSN
  • 0018-9286 (ISSN-L)
  • 1558-2523
OpenAlex
W2098902740
Cited by
257
References
3
FWCI
14.37
Type
journal article
Language
en
Open access
green

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Ferrari-Trecate, G., Galbusera, L., Marciandi, M. P. E., & Scattolini, R. (2009). Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2009.2031208

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