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Edson Antonio Batista
Also published under:Edson A. Batista, E. A. Batista, Edson Antônio Batista
Affiliation
Faculty of Engineering, Architecture and Urban Planning and Geography, UFMS, Campo Grande, Brazil
Topic
Cost Function,Model Predictive Control,Optimal Control,Predictive Control,Steady-state Error,Augmented Model,Generalized Predictive Control,Prediction Horizon,Transfer Function,Control Horizon,Control System,Electric Vehicles,Frequency Estimation,Identity Matrix,Low-pass,PI Controller,Phase-locked Loop,Positive Sequence,Power Electronics,Root Mean Square Error,Search Space,Settling Time,Tracking Error,Transient Response,Upper Triangular,Voltage Unbalance,Active Damping,Angular Position,Angular Velocity,Approaches In The Literature,Artificial Intelligence Methods,Artificial Neural Network,Assertive,Bidirectional Converter,Broad Search,Buck Converter,Canis Lupus,Conduction Loss,Constant Reference,Continuous-time Model,Control Design,Control System Design,Control Variables,Convergence Time,Converter Output,Converter Topology,Convolutional Neural Network,Coolant Temperature,Core Temperature,Crossover Operator,
Biography
Edson Antonio Batista (Member, IEEE) was born in Ilha Solteira, S ao Paulo, Brazil. He received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP/FEIS), in 2001, 2004, and 2009, respectively.
From 2015 to 2016, he was a Postdoctoral Researcher with the Department of Nuclear Engineering, University of Tennessee, USA. He is currently an Adjunct Professor with FAENG, Federal University of Mato Grosso do Sul (UFMS), and a Coordinator of the Embedded Systems Laboratory, which contains projects funded by CNPq, P&D Aneel, and FUNDECT/MS. He is a Coordinator of the Graduate Program in Electrical Engineering, UFMS. His research areas involve smart grids, intelligent instrumentation based on the concepts of the IEEE 1451 standard, real-time hardware-in-the-loop simulation, model predictive control, and fractional-order derivative application in hardware development. He is also a Reviewer of the Journal of Control, Automation and Electrical Systems.
From 2015 to 2016, he was a Postdoctoral Researcher with the Department of Nuclear Engineering, University of Tennessee, USA. He is currently an Adjunct Professor with FAENG, Federal University of Mato Grosso do Sul (UFMS), and a Coordinator of the Embedded Systems Laboratory, which contains projects funded by CNPq, P&D Aneel, and FUNDECT/MS. He is a Coordinator of the Graduate Program in Electrical Engineering, UFMS. His research areas involve smart grids, intelligent instrumentation based on the concepts of the IEEE 1451 standard, real-time hardware-in-the-loop simulation, model predictive control, and fractional-order derivative application in hardware development. He is also a Reviewer of the Journal of Control, Automation and Electrical Systems.