What is he best known for?
The fields of study he is best known for:
- Control theory
- Electrical engineering
- Control engineering
The scientist’s investigation covers issues in Control engineering, Control theory, Robustness, Smith predictor and Dead time.
His work deals with themes such as Electricity, Model predictive control, Renewable energy and Electric power system, which intersect with Control engineering.
When carried out as part of a general Model predictive control research project, his work on Predictive controller is frequently linked to work in Solar desalination and Research center, therefore connecting diverse disciplines of study.
His Control theory study is mostly concerned with PID controller, Open-loop controller and Control system.
His biological study focuses on Robust control.
His work is dedicated to discovering how Dead time, Process control are connected with Control synthesis, Transfer function and Closed loop and other disciplines.
His most cited work include:
- Control of dead-time processes (340 citations)
- Dead-time compensators: A survey (191 citations)
- Unified approach for robust dead-time compensator design (178 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Model predictive control, Robustness, Control engineering and Smith predictor are his primary areas of study.
His Process control research extends to Control theory, which is thematically connected.
The various areas that Julio E. Normey-Rico examines in his Model predictive control study include Control system, Temperature control, Quadratic programming, Mathematical optimization and Renewable energy.
Julio E. Normey-Rico has included themes like Path tracking and Predictive controller in his Robustness study.
In general Control engineering study, his work on Feed forward often relates to the realm of Solar desalination, thereby connecting several areas of interest.
Julio E. Normey-Rico works mostly in the field of Smith predictor, limiting it down to concerns involving Multivariable calculus and, occasionally, Control variable.
He most often published in these fields:
- Control theory (67.54%)
- Model predictive control (42.11%)
- Robustness (31.58%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (67.54%)
- Model predictive control (42.11%)
- Control theory (24.56%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Model predictive control, Control theory, Quadratic programming and Optimal control.
Nonlinear system and Robustness are subfields of Control theory in which his conducts study.
His Robustness study incorporates themes from Smith predictor, PID controller, Dead time and Small-gain theorem.
His research in Model predictive control intersects with topics in Algorithm and Mathematical optimization.
His Control theory study combines topics in areas such as Stability, Compensation and Operating point.
His Optimal control research is multidisciplinary, relying on both Energy consumption, Process control and Controllability.
Between 2018 and 2021, his most popular works were:
- An optimal predictive control strategy for COVID-19 (SARS-CoV-2) social distancing policies in Brazil. (31 citations)
- Fault Analysis, Detection and Estimation for a Microgrid via H2/H∞ LPV Observers (24 citations)
- Model predictive control design for linear parameter varying systems: A survey (13 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Electrical engineering
- Statistics
Julio E. Normey-Rico focuses on Control theory, Model predictive control, Quadratic programming, Microgrid and Robustness.
His work on Dead time as part of his general Control theory study is frequently connected to Field, thereby bridging the divide between different branches of science.
His Model predictive control course of study focuses on Econometrics and Duration and Optimal control.
His Quadratic programming research includes themes of Control theory and Nonlinear programming, Nonlinear system.
His Microgrid research is multidisciplinary, incorporating elements of Photovoltaic system, Energy management and Search algorithm.
His Temperature control research incorporates themes from Smith predictor and Estimator.
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