@InProceedings{RodriguesOlivAmbrChag:2019:UsArNe,
               author = "Rodrigues, {\'{\I}}talo Pinto and Oliveira, Priscylla 
                         Ang{\'e}lica da Silva and Ambr{\'o}sio, Ana Maria and Chagas, 
                         Ronan Arraes Jardim",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Centro 
                         Universit{\'a}rio de Barra Mansa} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Use of artificial neural networks in satellite simulators",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Santos, Rafael Duarte Coelho Dos and Mattos, Ariane Frassoni Dos 
                         Santos De and Mello, Carina Barros and Queiroz, Gilberto Ribeiro 
                         De and Vasconcelos, Leandro Guarino De and Vieira, Luis Eduardo 
                         Antunes and Forti, Maria Cristina and Gatto, Rubens Cruz",
         organization = "Workshop em Engenharia e Tecnologia Espaciais, 10. (WETE)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Artificial Neural Network, Electrical Power Supply Subsystem, 
                         System Identification, Space System Simulation.",
             abstract = "Satellite operational simulator is a tool used to support the 
                         operation of a satellite. In this paper an Artificial Neural 
                         Network (ANN) was used to design models that describe parts of a 
                         satellites Electrical Power Supply Subsystem. The results are 
                         compared with previous research using an identification technique 
                         called n4sid and with the real telemetry values of the CBRS-4 
                         satellite. The Artificial Neural Network produced better results, 
                         for all EPSS parameters (battery voltage, main error amplifier 
                         voltage and battery discharge regulator current) identified, than 
                         the n4sid identification. The models implemented with ANN shown to 
                         be sufficiently accurate for use in a satellite operational 
                         simulator.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "07-09 ago. 2019",
                 issn = "2177-3114",
             language = "pt",
                  ibi = "8JMKD3MGP3W34R/3U4CQM8",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34R/3U4CQM8",
           targetfile = "[wete2019] italo.pdf",
                 type = "CSE",
        urlaccessdate = "27 abr. 2024"
}