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Distributed input-delay model predictive control of inland waterways
Segovia Castillo, Pablo; Rajaoarisoa, Lala H.; Nejjari Akhi-Elarab, Fatiha; Duviella, Eric; Puig Cayuela, Vicenç
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
Inland waterways are large, complex systems composed of interconnected navigation reaches dedicated mainly to navigation. These reaches are generally characterized by negligible bottom slopes and large time delays. The latter requires ensuring the coordination of the current control actions and their delayed effects in the network. Centralized control strategies are often impractical to implement due to the size of the system. To overcome this issue, a distributed Model Predictive Control (MPC) approach is proposed. The system partitioning is based on a reordering of the optimality conditions matrix, and the control actions are coordinated by means of the Optimality Condition Decomposition (OCD) methodology. The case study is inspired by a real inland waterways system and shows the performance of the approach.
Peer Reviewed
-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
-Predictive control
-predictive control. Inland waterways
-model predictive control
-distributed control
-system partitioning
-Control predictiu
Article - Published version
Conference Object
EasyChair Publications
         

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