Fonte: Results in Control and Optimization. Unidades: EP, EESC
Assuntos: INTERNET DAS COISAS, ALGORITMOS GENÉTICOS, ENERGIA SOLAR, ENGENHARIA ELÉTRICA
ABNT
INOMOTO, Roberto Sussumu et al. Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment. Results in Control and Optimization, v. 14, p. 1-15, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.rico.2024.100389. Acesso em: 20 ago. 2024.APA
Inomoto, R. S., Sguarezi Filho, A. J., Monteiro, J. R. B. de A., & Costa, E. C. M. da. (2024). Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment. Results in Control and Optimization, 14, 1-15. doi:10.1016/j.rico.2024.100389NLM
Inomoto RS, Sguarezi Filho AJ, Monteiro JRB de A, Costa ECM da. Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment [Internet]. Results in Control and Optimization. 2024 ; 14 1-15.[citado 2024 ago. 20 ] Available from: http://dx.doi.org/10.1016/j.rico.2024.100389Vancouver
Inomoto RS, Sguarezi Filho AJ, Monteiro JRB de A, Costa ECM da. Genetic algorithm based tuning of sliding mode controllers for a boost converter of PV system using internet of things environment [Internet]. Results in Control and Optimization. 2024 ; 14 1-15.[citado 2024 ago. 20 ] Available from: http://dx.doi.org/10.1016/j.rico.2024.100389