Philippe Nimmegeers

发表

The Silent Cooperator: An Epigenetic Model for Emergence of Altruistic Traits in Biological Systems

Jan F. M. Van Impe, Dries Telen, I. Hashem, 2018, Complex..

Multi-objective optimisation of chemical processes via improved genetic algorithms: A novel trade-off and termination criterion

Jan Van Impe, Philippe Nimmegeers, Viviane De Buck, 2019, Computer Aided Chemical Engineering.

Demo Optimal Experimental Design

Jan Van Impe, Philippe Nimmegeers, Simen Akkermans, 2018 .

A process simulator interface for multiobjective optimization of chemical processes

Filip Logist, Jan F. M. Van Impe, Dries Telen, 2018, Comput. Chem. Eng..

Multi-objective optimization of a plug flow reactor using a divide and conquer approach

Jan Van Impe, Filip Logist, Dries Telen, 2017 .

Transient Phenomena in Microbial Dynamics: A Systems Biology Approach

Jan Van Impe, Filip Logist, Dries Telen, 2015 .

Pomodoro: A Novel Toolkit for Dynamic (MultiObjective) Optimization, and Model Based Control and Estimation

Jan Van Impe, Filip Logist, Satyajeet Bhonsale, 2018 .

A sampling-based stochastic optimal experiment design formulation with application to the Williams-Otto reactor

Dries Telen, Jan Van Impe, Philippe Nimmegeers, 2017 .

Parametric uncertainty propagation for robust dynamic optimization of biological networks

Filip Logist, Jan F. M. Van Impe, Dries Telen, 2016, 2016 American Control Conference (ACC).

A Distributed Optimization Algorithm for Stochastic Optimal Control

Jan Van Impe, Yuning Jiang, Boris Houska, 2017 .

Optimal experiment design under parametric uncertainty: A comparison of a sensitivities based approach versus a polynomial chaos based stochastic approach

Satyajeet Bhonsale, Dries Telen, Jan Van Impe, 2020 .

On the implementation of generalized polynomial chaos in dynamic optimization under stochastic uncertainty: a user perspective

Joel A. Paulson, Satyajeet Bhonsale, Dries Telen, 2019 .

A tutorial on uncertainty propagation techniques for predictive microbiology models: A critical analysis of state-of-the-art techniques.

Philippe Nimmegeers, Jan F Van Impe, Simen Akkermans, 2018, International journal of food microbiology.

Comparing design of experiments and optimal experimental design techniques for modelling the microbial growth rate under static environmental conditions.

Philippe Nimmegeers, Jan F Van Impe, Simen Akkermans, 2018, Food microbiology.

Power and limitations of tensor decomposition for monitoring and quality prediction of batch processes

Jan Van Impe, Dries Telen, Philippe Nimmegeers, 2017 .

Modelling, optimization and control @ BioTeC+

Jan Van Impe, Satyajeet Bhonsale, Dries Telen, 2017 .

Interactive Multi‐objective Dynamic Optimization of Bioreactors under Parametric Uncertainty

Jan Van Impe, Filip Logist, Mattia Vallerio, 2018, Chemie Ingenieur Technik.

A novel algorithm for fast representation of a Pareto front with adaptive resolution: Application to multi-objective optimization of a chemical reactor

Filip Logist, Jan F. M. Van Impe, Dries Telen, 2017, Comput. Chem. Eng..

A critical comparison of stochastic and worst-case robust approaches to optimal experiment design

Ali Mesbah, Dries Telen, Jan Van Impe, 2017 .

Multiscale modelling in predictive microbiology: mesoscopic and microscopic approach

Jan Van Impe, Philippe Nimmegeers, Cindy Smet, 2017 .

Investigating practical aspects of the exergy based multi-objective optimization of chemical processes

Jan Van Impe, Filip Logist, Dries Telen, 2017 .

Feature extraction for batch process monitoring and fault detection via simultaneous data scaling and training of tensor based models

Jan Van Impe, Dries Telen, Philippe Nimmegeers, 2018 .

Combined State Estimation and Predictive Control of Biological Systems using SolACE

Satyajeet Bhonsale, Dries Telen, Philippe Nimmegeers, 2017 .

Uncertainty in optimal experiment design: comparing an online versus offline approaches

Jan Van Impe, Dries Telen, Philippe Nimmegeers, 2018 .

Robustification techniques for optimal control of chemical processes

Jan Van Impe, Dries Telen, Philippe Nimmegeers, 2016 .

Dynamic optimization of biological networks under parametric uncertainty

Filip Logist, Jan F. M. Van Impe, Dries Telen, 2016, BMC Systems Biology.

An interactive computer aided decision making tool for sustainable food production and processing

Jan Van Impe, Satyajeet Bhonsale, Dries Telen, 2016 .

Metabolic Reaction Network-Based Model Predictive Control of Bioprocesses

Filip Logist, Satyajeet Bhonsale, Philippe Nimmegeers, 2021, Applied Sciences.

A roadmap for in silico development and evaluation of industrial NMPC applications: A practical case study

Filip Logist, Flavio Manenti, Alessandro Di Pretoro, 2021, Comput. Chem. Eng..

Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

Helmut Rechberger, Philippe Nimmegeers, Alexej Parchomenko, 2021, Sustainability.

Application of a dynamic metabolic flux algorithm during a temperature-induced lag phase

Filip Logist, Dries Telen, Philippe Nimmegeers, 2017 .

Robust multi-objective optimal control of dynamic biological networks

Jan Van Impe, Filip Logist, Dries Telen, 2016 .

Identifiability of large-scale non-linear dynamic network models applied to the ADM1-case study.

Jan Van Impe, Filip Logist, Dries Telen, 2017, Mathematical biosciences.