What is he best known for?
The fields of study he is best known for:
- Control theory
- Nonlinear system
- Thermodynamics
The scientist’s investigation covers issues in Control theory, Nonlinear system, Model predictive control, Nonlinear control and Partial differential equation.
His research ties Process control and Control theory together.
His Nonlinear system research incorporates elements of Actuator, Mathematical optimization, Ode and Ordinary differential equation.
Panagiotis D. Christofides combines subjects such as Control engineering, Optimization problem, Lyapunov redesign and Stability with his study of Model predictive control.
His research integrates issues of Mathematical analysis and Differential equation in his study of Nonlinear control.
His Partial differential equation study incorporates themes from Mechanics, Exponential stability and Adaptive filter.
His most cited work include:
- Distributed model predictive control: A tutorial review and future research directions (504 citations)
- Nonlinear and Robust Control of PDE Systems: Methods and Applications to Transport-Reaction Processes (438 citations)
- Nonlinear and Robust Control of PDE Systems (392 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Nonlinear system, Model predictive control, Lyapunov function and Process control.
His studies in Control theory integrate themes in fields like Control engineering and Partial differential equation.
His study in the fields of Networked control system under the domain of Control engineering overlaps with other disciplines such as Fault detection and isolation.
He interconnects Stability, Bounded function, Mathematical optimization and Actuator in the investigation of issues within Nonlinear system.
His Model predictive control research includes themes of Recurrent neural network, Optimization problem and Chemical process.
His research in Lyapunov function intersects with topics in Trajectory and Robustness.
He most often published in these fields:
- Control theory (60.38%)
- Nonlinear system (46.42%)
- Model predictive control (32.81%)
What were the highlights of his more recent work (between 2016-2021)?
- Model predictive control (32.81%)
- Nonlinear system (46.42%)
- Control theory (60.38%)
In recent papers he was focusing on the following fields of study:
Model predictive control, Nonlinear system, Control theory, Stability and Lyapunov function are his primary areas of study.
Panagiotis D. Christofides has included themes like Process safety, Process state, Artificial neural network, Control engineering and Chemical process in his Model predictive control study.
His biological study spans a wide range of topics, including Recurrent neural network, Mathematical optimization, Artificial intelligence, Process control and Process.
His Control theory research integrates issues from Function, Computational fluid dynamics and System identification.
His studies deal with areas such as State, Function, Control, Bounded function and Computation as well as Stability.
His research investigates the connection with Control theory and areas like Control system which intersect with concerns in Continuous stirred-tank reactor.
Between 2016 and 2021, his most popular works were:
- CFD modeling of a industrial-scale steam methane reforming furnace (45 citations)
- Multiscale modeling and run-to-run control of PECVD of thin film solar cells (34 citations)
- Machine learning‐based predictive control of nonlinear processes. Part I: Theory (31 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Thermodynamics
- Mechanical engineering
Panagiotis D. Christofides mostly deals with Model predictive control, Nonlinear system, Control theory, Process control and Computational fluid dynamics.
His work carried out in the field of Model predictive control brings together such families of science as Control engineering, Control system, Optimization problem and Artificial neural network.
His research in Nonlinear system is mostly concerned with Lyapunov function.
His research on Control theory focuses in particular on Actuator.
His Process control study integrates concerns from other disciplines, such as Process safety and Continuous stirred-tank reactor.
His Computational fluid dynamics study combines topics in areas such as Thin film, Work and Bayesian inference.
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