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Scalable distributed model predictive control for constrained systems
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DOI：10.1016/j.automatica.2018.03.050.png)
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Abstract
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A distributed model predictive control strategy is proposed for subsystems sharing a limited resource. Self-organized Time Division Multiple Access is used to coordinate subsystem controllers in a sequence such that no two re-optimize simultaneously. This new approach requires no central coordination or pre-organized optimizing sequence. The scheme guarantees satisfaction of coupled constraints despite dynamic entry and exit of subsystems. (C) 2018 Elsevier Ltd. All rights reserved.
Keywords:
Distributed model predictive control
Constrained systems
Scalable DMPC
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