What is he best known for?
The fields of study he is best known for:
- Control theory
- Catalysis
- Thermodynamics
His primary areas of investigation include Control theory, Nonlinear system, Nonlinear control, Control theory and Process control.
His study in Control theory is interdisciplinary in nature, drawing from both Control engineering, State and Chemical process.
His studies in Nonlinear system integrate themes in fields like Differential algebraic equation, Ordinary differential equation, Reduction, Multivariable calculus and Feed forward.
His Nonlinear control research integrates issues from Singular perturbation, Mathematical analysis, Ode, Feedback linearization and Reactive distillation.
His work carried out in the field of Control theory brings together such families of science as Dynamic simulation, Partial differential equation, Linearization and Zeroth law of thermodynamics.
His Process control research is multidisciplinary, incorporating elements of Minimum phase and Ethylene glycol.
His most cited work include:
- Finite-dimensional control of parabolic PDE systems using approximate inertial manifolds (262 citations)
- An anti-windup design for linear systems with input saturation (217 citations)
- Economic Optimization of a Lignocellulosic Biomass-to-Ethanol Supply Chain (177 citations)
What are the main themes of his work throughout his whole career to date?
Prodromos Daoutidis mainly focuses on Control theory, Nonlinear system, Nonlinear control, Control engineering and Control theory.
His biological study spans a wide range of topics, including Process control and Control.
His Control study frequently draws connections to other fields, such as Process.
His research in Nonlinear system intersects with topics in Reduction, Multivariable calculus, Mathematical optimization, Applied mathematics and Differential equation.
His research integrates issues of Feedback linearization and Reactive distillation in his study of Nonlinear control.
His research investigates the connection between Control theory and topics such as Control system that intersect with issues in Open-loop controller.
He most often published in these fields:
- Control theory (34.04%)
- Nonlinear system (27.05%)
- Nonlinear control (14.89%)
What were the highlights of his more recent work (between 2017-2021)?
- Mathematical optimization (10.03%)
- Nonlinear system (27.05%)
- Optimization problem (6.38%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical optimization, Nonlinear system, Optimization problem, Renewable energy and Model predictive control.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Lyapunov function and Optimal design.
His study with Nonlinear system involves better knowledge in Control theory.
His work on Disturbance, PID controller and Linear-quadratic-Gaussian control as part of general Control theory study is frequently linked to Dynamic models, bridging the gap between disciplines.
His research on Renewable energy also deals with topics like
- Ammonia production together with Production, Wind power, Process engineering and Chemical engineering,
- Fossil fuel and related Capital cost.
Prodromos Daoutidis interconnects Control engineering, Tracking and Benchmark in the investigation of issues within Model predictive control.
Between 2017 and 2021, his most popular works were:
- Zeolitic imidazolate framework membranes made by ligand-induced permselectivation (113 citations)
- Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection (31 citations)
- Decomposing complex plants for distributed control: Perspectives from network theory (27 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Catalysis
- Thermodynamics
His scientific interests lie mostly in Mathematical optimization, Renewable energy, Optimization problem, Process engineering and Model predictive control.
His research in Mathematical optimization focuses on subjects like Optimal design, which are connected to Scheduling and Scale.
His Renewable energy research incorporates themes from Ammonia and Energy storage.
His Optimization problem research includes elements of Optimal control and Nonlinear system.
His Model predictive control research incorporates elements of Control engineering and Tracking.
His studies deal with areas such as Nonlinear model, Estimation and Control theory as well as Control.
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