Encontrados 5 documentos, a visualizar página 1 de 1
Path Planning Collision Avoidance Using Reinforcement Learning
Batista, Josias Guimarães; Dias, Emerson Veras Aragão; Vasconcelos, Felipe José de Sousa; Ramos, Kaio Martins; Souza, Darielson Araújo deIndustrial robots have grown over the years making production systems more and more efficient, requiring the need for efficient trajectory generation algorithms that optimize and, if possible, generate collision-free trajectories without interrupting the production process. In this work is presented the use of Reinforcement Learning (RL), based on the Q-Learning algorithm, in the trajectory generation of a robo...
Identificação com uma Variação de Mínimos Quadrados Recursivo aplicado a um Man...
Souza, Darielson Araújo de; Batista, Josias Guimarães; Reis, Laurinda Lúcia Nogueira dos; Nascimento Júnior, José Nogueira doRobotics has been reaching a lot of space in recent years and is evolving every day. Today, robotics is seen as an important area in many applications. Dynamic control is an essential tool for robotics. To design the control, a well-modeled / identified plant is required to have a well-defined controller design. A misidentified system can compromise the project, causing it to have a control effort and a very lo...
Comparação entre Rastreadores Inteligentes para o Ponto de Máxima Potência de u...
Ramos, Kaio Martins; Vasconcelos, Felipe José de Sousa; Filgueiras, Lucas Vinicios Oliveira; Oliveira, Paulo Daving Lima de; Souza, Darielson Araújo deElectricity generation is an indispensable factor for society, both for economic and social development. Within this context, renewable sources have been gaining space, one of them being photovoltaic solar. However the efficiency of photovoltaic systems presents nonlinear characteristics due mainly to the variation of temperature and irradiation and, as a consequence, the efficiency achieved. This can be improv...
Estudo sobre o uso da água a partir das tecnologias de geração de eletricidade ...
Freitas, Deivid Matias de; Carvalho, Paulo Cesar Marques de; Braga, Arthur Plínio de Souza; Ramos, Kaio MartinsConsiderando o estresse hídrico vivido pelo mundo na atualidade e o desafio da geração deeletricidade sustentável, a utilização da água no setor elétrico é uma importante questão a serestudada. Dessa forma, este trabalho pretende contribuir para um planejamento eficaz depolíticas integradas de energia e água. No Ceará, 65% da energia é produzida por tecnologiasde usinas termelétricas (UTEs) a carvão e gás natur...
Previsão de vazões utilizando redes neurais para Sobradinho
Ramos, Kaio Martins; Guimarães, Antonio Alisson Pessoa; Silveira, Cleiton da Silva; Teixeira Filho, Antônio Robsson de SousaArtificial Neural Networks are computational models based on the nervous system of living beings, thus possessing learning ability through the search of patterns. This paper aims to use artificial neural networks to flow forecasting of the Sobradinho reservoir, located in the São Francisco River at Bahia State. Using data natural flow and climatic variables provided by the National System Operator (NSO) and Int...