Distributed input-delay model predictive control of inland waterways
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Document typeConference report
Defense date2018
PublisherEasyChair Publications
Rights accessRestricted access - publisher's policy
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Abstract
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.
CitationSegovia, P., Rajaoarisoa, L.H., Nejjari, F., Duviella, E., Puig, V. Distributed input-delay model predictive control of inland waterways. A: International Conference on Hydroinformatics. "EPiC Series in Engineering (Vol. 3, 2018)". EasyChair Publications, 2018, p. 1893-1901.
ISBN2516-2330
Publisher versionhttps://easychair.org/publications/paper/PFSQ
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2043-Distribute ... ol-of-Inland-Waterways.pdf | 841,2Kb | Restricted access |