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Supervised Bidirectional DC/DC Converter for Intelligent Hybrid Electric Vehicles Energy Management
No full textSupervised Bidirectional DC/DC Converter for Intelligent Fuel Cell Vehicles Energy Management
No full textA novel technique for supervisory control of a bidirectional DC/DC converter is here considered and discussed. The converter is modeled as an hybrid system, where the plant represents the controlled converter and the supervisor is an event-driven DES described by a finite-state automaton. The supervisory control is used for appropriate controller selection in order to implement a power quality assessment strategy based on the dynamic selection of step-down and step-up modes, depending on controlled variables actual values. Both low-level regulators and supervisory controller will be derived adopting a rigorous mathematical approach. Finally, results in Saber will demonstrate the effectiveness of the approach, considering as a testbench the implementation of an intelligent strategy for on-line mode inversion, i.e. from step-up to step-down operation and reverse, in order to fulfill to power quality requirements
Flavonoids and ω3-polyunsaturated fatty acid supplementation in renal transplant recipients: new arguments from COVID-19
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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