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Distributed MPC under coupled constraints based on Dantzig-Wolfe decomposition

Abstract : In this chapter, we propose a distributed model predictive control scheme based on the Dantzig-Wolfe decomposition to control a collection of linear dynamical systems coupled by linear global constraints. The resulting structure is composed of one optimization agent for each system, and another one that has to ensure that the global constraints are fulfilled. The global solution of the problem is found in a finite number of iterations.
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https://hal-supelec.archives-ouvertes.fr/hal-00918902
Contributor : Josiane Dartron <>
Submitted on : Monday, December 16, 2013 - 9:20:14 AM
Last modification on : Wednesday, April 8, 2020 - 3:56:37 PM

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Romain Bourdais, Jean Buisson, Didier Dumur, Hervé Guéguen, Daniel-Petru Morosan. Distributed MPC under coupled constraints based on Dantzig-Wolfe decomposition. Maestre, José M.; Negenborn, Rudy R. (Eds.). Distributed Model Predictive Control Made Easy, Springer, pp.101-114, 2013, Intelligent Systems, Control and Automation: Science and Engineering, Vol. 69, ⟨10.1007%2F978-94-007-7006-5_6⟩. ⟨hal-00918902⟩

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