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Andrea D?Ambrosio and Roberto Furfaro
This paper demonstrates the utilization of Pontryagin Neural Networks (PoNNs) to acquire control strategies for achieving fuel-optimal trajectories. PoNNs, a subtype of Physics-Informed Neural Networks (PINNs), are tailored for solving optimal control pr...
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Maxim Durach
Electromagnetic fields in bulk bianisotropic media contain plane waves whose k-vectors can be found using the method of the index of refraction?s operator and belong to the Fresnel wave surfaces that fall into one of the five hyperbolic classes of the Du...
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Walter Gil-González, Oscar Danilo Montoya and César Leonardo Trujillo-Rodríguez
This research addresses the efficient integration and sizing of flexible alternating current transmission systems (FACTS) in electrical distribution networks via a convex optimization approach. The exact mixed-integer nonlinear programming (MINLP) model ...
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Simón Sepúlveda-García, Oscar Danilo Montoya and Alejandro Garcés
This paper addresses the problem of the power flow analysis of bipolar direct current (DC) networks considering unbalanced loads and the effect of a neutral wire, which may be solidly grounded or non-grounded. The power flow problem is formulated using t...
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Hongjiang Yu, Guoshun Yuan, Dewei Kong, Lei Lei and Yuefeng He
Data analysis and processing system, Neural network system, Accelerator and Coprocessor.
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