Distributed input-delay model predictive control of inland waterways

Conference Article


International Conference on Hydroinformatics (HIC)





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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.


predictive control.

Author keywords

Inland waterways, model predictive control, distributed control, system partitioning

Scientific reference

P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Distributed input-delay model predictive control of inland waterways, 13th International Conference on Hydroinformatics, 2018, Palermo, Italy, Vol 3 of EpIC Series in Engineering, pp. 1893-1901.