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Constantinos Theodoropoulos
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2020 – today
- 2024
- [j15]Michael Binns, Alessandro Usai, Constantinos Theodoropoulos:
Identifiability methods for biological systems: Determining subsets of parameters through sensitivity analysis, penalty-based optimisation, profile likelihood and LASSO model reduction. Comput. Chem. Eng. 186: 108683 (2024) - 2021
- [j14]Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos:
Robust Stability of Barrier-Based Model Predictive Control. IEEE Trans. Autom. Control. 66(4): 1879-1886 (2021) - 2020
- [j13]Panagiotis Petsagkourakis, William Paul Heath, Constantinos Theodoropoulos:
Stability analysis of piecewise affine systems with multi-model predictive control. Autom. 111 (2020)
2010 – 2019
- 2019
- [j12]E. D. Koronaki, Pavlos A. Gkinis, Lars A. A. Beex, Stéphane P. A. Bordas, Constantinos Theodoropoulos, Andreas G. Boudouvis:
Classification of states and model order reduction of large scale Chemical Vapor Deposition processes with solution multiplicity. Comput. Chem. Eng. 121: 148-157 (2019) - [i2]Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos:
Input-Output Stability of Barrier-Based Model Predictive Control. CoRR abs/1903.03154 (2019) - 2018
- [i1]Panagiotis Petsagkourakis, William Paul Heath, Constantinos Theodoropoulos:
Stability Analysis of Piecewise Affine Systems with Multi-model Model Predictive Control. CoRR abs/1808.00307 (2018) - 2015
- [j11]Michael Binns, Pedro de Atauri, Anestis Vlysidis, Marta Cascante, Constantinos Theodoropoulos:
Sampling with poling-based flux balance analysis: optimal versus sub-optimal flux space analysis of Actinobacillus succinogenes. BMC Bioinform. 16: 49:1-49:19 (2015) - [j10]Liliana Angeles-Martinez, Constantinos Theodoropoulos:
A Lattice-Boltzmann scheme for the simulation of diffusion in intracellular crowded systems. BMC Bioinform. 16: 353:1-353:15 (2015) - 2014
- [j9]Ioannis Bonis, Weiguo Xie, Constantinos Theodoropoulos:
Multiple Model Predictive Control of Dissipative PDE Systems. IEEE Trans. Control. Syst. Technol. 22(3): 1206-1214 (2014) - 2013
- [c2]Ioannis S. Fragkopoulos, Constantinos Theodoropoulos:
Multiscale Models of Electrochemically-Promoted Large Catalytic Surfaces. SIMULTECH 2013: 155-162 - 2012
- [j8]Jorge E. Alaña, Constantinos Theodoropoulos:
Optimal spatial sampling scheme for parameter estimation of nonlinear distributed parameter systems. Comput. Chem. Eng. 45: 38-49 (2012) - [j7]Michael Binns, Sam P. de Visser, Constantinos Theodoropoulos:
Modeling Flexible Pharmacophores with Distance Geometry, Scoring, and Bound Stretching. J. Chem. Inf. Model. 52(2): 577-588 (2012) - 2011
- [j6]Jon Pey, Constantinos Theodoropoulos, Alberto Rezola, Angel Rubio, Marta Cascante, Francisco J. Planes:
Do elementary flux modes combine linearly at the "atomic" level? Integrating tracer-based metabolomics data and elementary flux modes. Biosyst. 105(2): 140-146 (2011) - [j5]Jorge E. Alaña, Constantinos Theodoropoulos:
Optimal location of measurements for parameter estimation of distributed parameter systems. Comput. Chem. Eng. 35(1): 106-120 (2011) - [j4]Weiguo Xie, Ioannis Bonis, Constantinos Theodoropoulos:
Off-line model reduction for on-line linear MPC of nonlinear large-scale distributed systems. Comput. Chem. Eng. 35(5): 750-757 (2011) - [j3]Michael Binns, Constantinos Theodoropoulos:
An integrated knowledge-based approach for modelling biochemical reaction networks. Comput. Chem. Eng. 35(12): 3025-3043 (2011)
2000 – 2009
- 2005
- [j2]Antonios Armaou, Ioannis G. Kevrekidis, Constantinos Theodoropoulos:
Equation-free gaptooth-based controller design for distributed complex/multiscale processes. Comput. Chem. Eng. 29(4): 731-740 (2005) - [j1]Eduardo Luna-Ortiz, Constantinos Theodoropoulos:
An Input/Output Model Reduction-Based Optimization Scheme for Large-Scale Systems. Multiscale Model. Simul. 4(2): 691-708 (2005) - 2004
- [c1]Antonios Armaou, Ioannis G. Kevrekidis, Constantinos Theodoropoulos:
The gaptooth scheme, patch dynamics and equation-free controller design for distributed complex/multiscale processes. ACC 2004: 926-932
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