Pantheon Repositorio Institucional

Gerenciamento de potências usando um conversor modular em cascata para veículos elétricos com células a combustível Ver

This work proposes a power management strategy based on pq-Theory for fuel cell and electric vehicle applications. Using a modular cascaded converter topology, more than one power source can be combined with capacitors to supply active and reactive power in an efficient manner to&#...

A study on deep convolutional neural networks for computer vision applications Ver

This work presents an Artificial Cortex model for solving complex problems. In the framework of the cortex, highlighting the use of machine learning based on multiple artificial neural networks. The design of the model of the observation of the functioning of the brain as a&#x...

Modelo de córtex artificial baseado em multirredes neurais cooperativas para aplicação em decisões complexas: aplicação em sistema tutor Inteligente baseado em Jogos Digitais Ver

Presents an Artificial Cortex model for solving complex problems. In the framework of the cortex, highlighting the use of machine learning based on multiple artificial neural networks. The design of the model of the observation of the functioning of the brain as a set of ...

Analysis of the dynamics of duopoly models under state feedback advertising policies with switching Ver

Investigates the effect of competitive advertising policies in a proposed class of duopoly dynamic models, inspired on the classical Vidale-Wolfe model. A basic assumption is that the firm with a lower market share than its target market share level switches on an extra control...

Controle preditivo com número reduzido de estados aplicado a conversor multinível modular Ver

The modular multilevel converter (MMC) has been a subject of increasing interest for power electronics researchers. Therefore, the use of this topology in the most diverse application areas has been studied, especially in high voltage direct current transmission systems. Thus, this work ...

Verification of generalized robust diagnosability of discrete event systems Ver

This work addresses the problem of generalized robust diagnosability (GRD) of discrete event systems (DESs) described by a class of automata, where each automaton in the class generates a distinct language. The definition of GRD and the algorithm for its verification previously proposed...