2010 - Fellow of the International Federation of Automatic Control (IFAC)
The scientist’s investigation covers issues in Control theory, Adaptive control, Estimation theory, Nonlinear system and Lyapunov function. His Control theory research focuses on Partial differential equation and how it relates to Nonlinear control. His research in Adaptive control focuses on subjects like System identification, which are connected to Growth rate, Minimum-variance unbiased estimator, Batch production and Numerical analysis.
His Estimation theory research is multidisciplinary, relying on both Estimator, Line, Applied mathematics, Kalman filter and Estimation. His research integrates issues of Control system, Optimization problem and Mathematical analysis in his study of Nonlinear system. His work carried out in the field of Lyapunov function brings together such families of science as Internal energy, Continuous stirred-tank reactor, Control theory and Entropy.
Denis Dochain focuses on Control theory, Nonlinear system, Control theory, Adaptive control and Control engineering. Control theory is closely attributed to Control in his study. Within one scientific family, he focuses on topics pertaining to Applied mathematics under Nonlinear system, and may sometimes address concerns connected to State.
Control theory connects with themes related to Bioreactor in his study. Denis Dochain combines topics linked to Anaerobic digestion with his work on Adaptive control. His Lyapunov function study combines topics from a wide range of disciplines, such as Stability, Entropy production and Adaptive learning.
Denis Dochain spends much of his time researching Control theory, Nonlinear system, Observer, Statistical physics and Lyapunov function. His research on Control theory focuses in particular on Control theory. His Nonlinear system research is multidisciplinary, incorporating perspectives in Control system, Steady state, Estimation theory, Partial differential equation and Bistability.
His studies in Partial differential equation integrate themes in fields like Mechanics, Exothermic reaction and Adaptive control. His work on State observer as part of his general Observer study is frequently connected to Observable, thereby bridging the divide between different branches of science. His Lyapunov function research is multidisciplinary, incorporating elements of Entropy production, Exponential stability and Bioreactor.
His main research concerns Control theory, Nonlinear system, Control, Function and Observer. The various areas that Denis Dochain examines in his Control theory study include Estimator and Mathematical optimization. The concepts of his Nonlinear system study are interwoven with issues in Control system, Estimation theory, Work and Applied mathematics.
He has included themes like Control engineering, State variable and State in his Control study. His Function research includes themes of Reaction rate, Control theory and Reaction. His work on State observer as part of general Observer study is frequently linked to Noise, therefore connecting diverse disciplines of science.
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On-Line Estimation and Adaptive Control of Bioreactors
G. Bastin;D. Dochain.
Dynamical model development and parameter identification for an anaerobic wastewater treatment process
Olivier Bernard;Zakaria Hadj-Sadok;Denis Dochain;Antoine Genovesi.
Biotechnology and Bioengineering (2001)
State and parameter estimation in chemical and biochemical processes: a tutorial
Journal of Process Control (2003)
Dynamical modelling and estimation in wastewater treatment processes.
Denis Dochain;Peter A. Vanrolleghem.
Water intelligence online (2015)
Review and classification of recent observers applied in chemical process systems
Jarinah Mohd Ali;N. Ha Hoang;Mohamed Azlan Hussain;Denis Dochain.
Computers & Chemical Engineering (2015)
Kinetics of lactic acid fermentation on glucose and corn by Lactobacillus amylophilus
P. Mercier;L. Yerushalmi;D. Rouleau;D. Dochain.
Journal of Chemical Technology & Biotechnology (2007)
Paper: Adaptive identification and control algorithms for nonlinear bacterial growth systems
D. Dochain;G. Bastin.
Dynamical analysis of distributed parameter tubular reactors
Joseph J. Winkin;Denis Dochain;Philippe Ligarius.
Structural Identifiability of Biokinetic Models of Activated-sludge Respiration
Water Research (1995)
Modelling and adaptive control of nonlinear distributed parameter bioreactors via orthogonal collocation
D. Dochain;J. P. Babary;N. Tali-Maamar.
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