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Robust model predictive control based on Gaussian processes: Application to drinking water networks

AuthorsWang, Ye ; Ocampo-Martinez, Carlos ; Puig, Vicenç
Issue Date2015
PublisherInstitute of Electrical and Electronics Engineers
CitationECC 2015
AbstractIn this paper, a controller design based on robust Model Predictive Control (MPC) and Gaussian Processes (GP) for incorporating the disturbance forecasting has been proposed. Using a probabilistic system representation, the state trajectories considering the influence of disturbances can be obtained through the uncertainty propagation by using GP. Therefore, the worst-case state trajectories evolution over the MPC prediction horizon can be determined, which are potentially used by including them into the MPC cost function and constraints. For the purpose of inspecting the performance of proposed controller, it has been compared with a certain equivalent MPC and a chance-constrained MPC. Results of the application the proposed approach to Barcelona Drinking Water Network (DWN) have shown the effectiveness of the approach and comparison results with the other considered MPC approaches have shown the advantages and drawbacks of each approach.
DescriptionTrabajo presentado a la European Control Conference celebrada en Linz (Alemania) del 15 al 17 de julio de 2015.
Publisher version (URL)http://dx.doi.org/10.1109/ECC.2015.7331042
Identifiersdoi: 10.1109/ECC.2015.7331042
Appears in Collections:(IRII) Comunicaciones congresos
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