Model predictive control and moving horizon estimation for water level regulation in inland waterways


== Abstract ==

This work regards the design of optimization techniques for the purposes of state estimation and control in the framework of inland waterways, often characterized by negligible bottom slopes and large time delays. The derived control-oriented model allows these issues to be handled in a suitable manner. Then, the analogous moving horizon estimation and model predictive control techniques are applied in a centralized manner to estimate the unmeasurable states and fulfill the operational goals, respectively. Finally, the performance of the methodology is tested in simulation by means of a realistic case study based on part of the inland waterways in the north of France. The results show that the proposed methodology is able to guarantee the navigability condition, as well as the other operational goals.

This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the projects DEOCS (ref. MINECO DPI2016-76493) and SCAV (ref. MINECO DPI2017-88403-R). This work has also been partially funded by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (2017 SGR 482).


== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10261/202260 http://hdl.handle.net/10261/202260]

* [http://hdl.handle.net/2117/129756 http://hdl.handle.net/2117/129756]

* [https://digital.csic.es/bitstream/10261/202260/1/Model%20predictive%20control_Segovia.pdf https://digital.csic.es/bitstream/10261/202260/1/Model%20predictive%20control_Segovia.pdf]

* [https://api.elsevier.com/content/article/PII:S0959152418303470?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0959152418303470?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S0959152418303470?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S0959152418303470?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.jprocont.2018.12.017 http://dx.doi.org/10.1016/j.jprocont.2018.12.017] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [https://www.sciencedirect.com/science/article/pii/S0959152418303470 https://www.sciencedirect.com/science/article/pii/S0959152418303470],
: [https://digital.csic.es/handle/10261/202260 https://digital.csic.es/handle/10261/202260],
: [https://upcommons.upc.edu/handle/2117/129756 https://upcommons.upc.edu/handle/2117/129756],
: [https://academic.microsoft.com/#/detail/2911495738 https://academic.microsoft.com/#/detail/2911495738]