Project number:

GuEst 790017

Title of the project:

New Directions in Guaranteed Estimation of Nonlinear Dynamic Systems and Their Applications to Chemical Engineering Problems

Grant scheme:

MSCA-IF-EF-ST

Project type:

European Projects

Project duration (start):

01.06.2018

Project duration (end):

31.05.2020

Principal investigator:

Radoslav Paulen

Project coordinator:

Miroslav Fikar

2021

1. A. R. Gottu Mukkula – M. Mateáš – M. Fikar – R. Paulen: Robust multi-stage model-based design of optimal experiments for nonlinear estimation. Computers & Chemical Engineering, vol. 155, pp. 107499, 2021.   arXiv
2. P. Valiauga – X. Feng – M. Villanueva – R. Paulen – B. Houska: Set-membership Estimation using Ellipsoidal Ensembles. Editor(s): Jong Min Lee, In 16th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2021, Elsevier, pp. 596–601, 2021.     arXiv

2020

1. A. R. Gottu Mukkula – P. Valiauga – M. Fikar – R. Paulen – S. Engell: Experimental Real Time Optimization of a Continuous Membrane Separation Plant. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, pp. 11967–11974, 2020.     arXiv
2. K. Kusumo – L. Gomoescu – R. Paulen – S. García Muñoz – C. C. Pantelides – N. Shah – B. Chachuat: Bayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy. Industrial & Engineering Chemistry Research, no. 6, vol. 59, pp. 2396–2408, 2020.
3. K. Kusumo – L. Gomoescu – R. Paulen – S. García Muñoz – C. C. Pantelides – N. Shah – B. Chachuat: Nested Sampling Strategy for Bayesian Design Space Characterization. Editor(s): Sauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca, In 30th European Symposium on Computer Aided Process Engineering, Elsevier, vol. 30, pp. 1957–1962, 2020.
4. R. Paulen – L. Gomoescu – B. Chachuat: Nested Sampling Approach to Set-membership Estimation. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, pp. 7318–7323, 2020.     arXiv
5. S. Thangavel – R. Paulen – S. Engell: Adaptive multi-stage NMPC using sigma point principles. In European Control Conference 2020, pp. 196–201, 2020.
6. S. Thangavel – R. Paulen – S. Engell: Robust Multi-Stage Nonlinear Model Predictive Control Using Sigma Points. Processes, no. 7, vol. 8, pp. 0851, 2020.
7. S. Thangavel – R. Paulen – S. Engell: Multi-stage NMPC using sigma point principles. In 6th Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2020, Elsevier, vol. 53, pp. 386–391, 2020.     arXiv
8. S. Thangavel – R. Paulen – S. Engell: Dual multi-stage NMPC using sigma point principles. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, pp. 11394–11401, 2020.     arXiv
9. C. E. Valero – M. Villanueva – B. Houska – R. Paulen: Set-Based State Estimation: A Polytopic Approach. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, pp. 11428–11433, 2020.     arXiv

2019

1. A. R. Gottu Mukkula – R. Paulen: Optimal experiment design in nonlinear parameter estimation with exact confidence regions. Journal of Process Control, vol. 83, pp. 187–195, 2019.
2. M. Mojto – K. Ľubušký – M. Fikar – R. Paulen: Design of Data-based Inferential Sensors for Industrial Depropanizer Column. Editor(s): G. Léonard and F. Logist, In Computer Aided Process Engineering, CAPE Forum, pp. 12–13, 2019.
3. M. Mojto – R. Paulen – K. Ľubušký – M. Fikar: Modelling and Analysis of Control Pairings of an Industrial Depropanizer Column. In Advanced Process Modelling Forum 26-27 March 2019, pp. 5–6, 2019.
4. R. Paulen – M. Fikar: Dynamic real-time optimization of batch processes using Pontryagin’s minimum principle and set-membership adaptation. Computers & Chemical Engineering, vol. 128, pp. 488–495, 2019.
5. R. Paulen – M. Fikar: Dual-Control-Based Approach to Batch Process Operation under Uncertainty Based on Optimality-Conditions Parametrization. Industrial & Engineering Chemistry Research, no. 30, vol. 58, pp. 13508–13516, 2019.
6. J. Su – Y. Zha – K. Wang – M. Villanueva – R. Paulen – B. Houska: Interval Superposition Arithmetic for Guaranteed Parameter Estimation. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 574–579, 2019.
7. C. E. Valero – R. Paulen: Set-Theoretic State Estimation for Multi-output Systems using Block and Sequential Approaches. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 268–273, 2019.
8. C. E. Valero – R. Paulen: Effective Recursive Set-membership State Estimation for Robust Linear MPC. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 486–491, 2019.
9. P. Valiauga – R. Paulen: Moving-horizon Guaranteed Parameter Estimation: Influence of the Measurement Error. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 256–261, 2019.
10. P. Valiauga – R. Paulen: Moving-horizon Guaranteed Parameter Estimation. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 112–117, 2019.
11. M. Villanueva – X. Feng – R. Paulen – B. Chachuat – B. Houska: Convex Enclosures for Constrained Reachability Tubes. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 118–123, 2019.

2018

1. J. Su – Y. Zha – K. Wang – M. Villanueva – R. Paulen – B. Houska: Interval Superposition Arithmetic for Guaranteed Parameter Estimation. 2018.