2012 - Fellow of the American Association for the Advancement of Science (AAAS)
2012 - Fellow of the American Association for the Advancement of Science (AAAS)
2011 - Fellow of the International Federation of Automatic Control (IFAC)
2009 - IEEE Fellow For contributions to analysis and control of nonlinear and distributed parameter processes
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 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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Nonlinear and Robust Control of PDE Systems: Methods and Applications to Transport-Reaction Processes
PD Christofides;J Chow.
Applied Mechanics Reviews (2002)
Distributed model predictive control: A tutorial review and future research directions
Panagiotis D. Christofides;Riccardo Scattolini;David Muñoz de la Peña;Jinfeng Liu.
Computers & Chemical Engineering (2013)
A tutorial review of economic model predictive control methods
Matthew Ellis;Helen Durand;Panagiotis D. Christofides.
Journal of Process Control (2014)
Predictive control of switched nonlinear systems with scheduled mode transitions
P. Mhaskar;N.H. El-Farra;P.D. Christofides.
IEEE Transactions on Automatic Control (2005)
Output feedback control of switched nonlinear systems using multiple Lyapunov functions
Nael H. El-Farra;Prashant Mhaskar;Panagiotis D. Christofides.
Systems & Control Letters (2005)
Finite-dimensional control of parabolic PDE systems using approximate inertial manifolds
P.D. Christofides;P. Daoutidis.
Journal of Mathematical Analysis and Applications (1997)
Stabilization of nonlinear systems with state and control constraints using Lyapunov-based predictive control☆
Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides.
Systems & Control Letters (2006)
Economic model predictive control of nonlinear process systems using Lyapunov techniques
Mohsen Heidarinejad;Jinfeng Liu;Panagiotis D. Christofides.
Aiche Journal (2012)
Control of Nonlinear and Hybrid Process Systems: Designs for Uncertainty, Constraints and Time-Delays
Panagiotis D Christofides;Nael H El-Farra.
(2005)
Lyapunov-Based Model Predictive Control of Nonlinear Systems Subject to Data Losses
D. Munoz de la Pena;P.D. Christofides.
IEEE Transactions on Automatic Control (2008)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
University of California, Davis
McMaster University
University of California, Los Angeles
University of Minnesota
Shandong University of Science and Technology
University of Bremen
University of California, Santa Barbara
Technion – Israel Institute of Technology
Center for Scientific Research and Higher Education at Ensenada
University of Pavia
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: