What is he best known for?
The fields of study he is best known for:
- Statistics
- Control theory
- Electrical engineering
Thomas F. Edgar mainly focuses on Control theory, Process control, Control engineering, Nonlinear system and Model predictive control.
His study in Control system and PID controller falls within the category of Control theory.
His Process control study combines topics in areas such as Microelectronics, Statistical process control, State and Automatic control.
His study in Control engineering is interdisciplinary in nature, drawing from both Control and Semiconductor device fabrication.
The Nonlinear system study combines topics in areas such as Differential algebraic equation, Estimation, Mathematical optimization and Dynamic data.
He combines subjects such as Distributed generation, Thermal energy storage, Control theory, Energy recovery and Computation with his study of Model predictive control.
His most cited work include:
- Process Dynamics and Control (1726 citations)
- Optimization of Chemical Processes (770 citations)
- Identification of faulty sensors using principal component analysis (433 citations)
What are the main themes of his work throughout his whole career to date?
Thomas F. Edgar mostly deals with Control theory, Process control, Control engineering, Nonlinear system and Control theory.
His work carried out in the field of Control theory brings together such families of science as Reduction and Model predictive control.
His Control engineering research is multidisciplinary, incorporating elements of Semiconductor device fabrication and Control.
His Nonlinear system research is multidisciplinary, relying on both Estimation theory and Mathematical optimization.
He most often published in these fields:
- Control theory (31.40%)
- Process control (13.76%)
- Control engineering (12.79%)
What were the highlights of his more recent work (between 2009-2021)?
- Control theory (31.40%)
- Process engineering (9.30%)
- Efficient energy use (2.91%)
In recent papers he was focusing on the following fields of study:
Thomas F. Edgar spends much of his time researching Control theory, Process engineering, Efficient energy use, Model predictive control and Thermal energy storage.
His Control theory research incorporates elements of Relay, Simple and Process control.
His study focuses on the intersection of Process control and fields such as Semiconductor device fabrication with connections in the field of Control engineering.
His research on Process engineering also deals with topics like
- Energy recovery and related Distributed generation,
- Simulation that connect with fields like Energy, Air conditioning and Control theory.
His Thermal energy storage research focuses on Photovoltaic thermal hybrid solar collector and how it relates to Parabolic trough.
His Nonlinear system study combines topics from a wide range of disciplines, such as Estimation theory and Extended Kalman filter.
Between 2009 and 2021, his most popular works were:
- Smart manufacturing, manufacturing intelligence and demand-dynamic performance (352 citations)
- Clustering analysis of residential electricity demand profiles (161 citations)
- Modeling and control of a solar thermal power plant with thermal energy storage (157 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Control theory
His primary areas of study are Process engineering, Control theory, Model predictive control, Thermal energy storage and Power station.
His Process engineering study incorporates themes from Distributed generation, Hydrogen production, Methane reformer, Energy recovery and Photovoltaic system.
His work in the fields of PID controller and Dynamic simulation overlaps with other areas such as Transfer entropy.
His PID controller research is multidisciplinary, incorporating perspectives in Simple and Reduction.
His work deals with themes such as Hardening, Air conditioning, Control engineering, Control theory and Martensite, which intersect with Model predictive control.
His studies deal with areas such as Building management system and Dynamic data as well as Control engineering.
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