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Artículo
Robust learning-based MPC for nonlinear constrained systems
(Elsevier, 2020-07)
This paper presents a robust learning-based predictive control strategy for nonlinear systems subject to both input and output constraints, under the assumption that the model function is not known a priori and only ...
Artículo
A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case
(Institute of Electrical and Electronics Engineers, 2020)
Autonomous Surfaces Vehicles (ASV) are incredibly useful for the continuous monitoring and exploring task of water resources due to their autonomy, mobility, and relative low cost. In the path planning context, the ...
Artículo
Prediction of pipe failures in water supply networks using logistic regression and support vector classification
(Elsevier, 2020-04)
Companies in charge of water supply networks are making a huge effort to optimally plan the annual replacements of pipes. This would save costs, enable a higher quality of service and a sustainable management of ...
Artículo
Experimental analysis of atmospheric heat sinks as heat dissipators
(Elsevier, 2020-03)
Overheating, a general problem both in urban spaces and inside buildings, calls for the deployment of passive cooling techniques to reduce energy consumption, protect the environment and institute satisfactory comfort ...