Project number:
UVP ITMS:26240220084
Title of the project:
University scientific park STU Bratislava
Project type:
Operating programs
Project duration (start):
00.00.2013
Project duration (end):
00.00.2015

Program

Operating program Research and development, priority axis 4

Partners

  • STU in Bratislava

Project ID

OPVaV-2012/4.2/08-RO, ITMS:26240220084

Date

1.4.2013 – 30.6.2015

Project aims

  • To strenghten cooperation in research and development between industrial and academic spheres by creating of university research part oriented to selected research fields
  • To create and develop university research park STU Bratislava
  • Applied research
  • To support transfer of technologies and knowledge to praxis

Activities of the institute

2.1.4 Applied research and development in chemical engineering: WP – 2.1.4.3 research and development in modelling and control of technological processes. The main aim of the activity is improvement of equipment and applied research in modelling and control pf processes.

Solvers: M. Bakošová, M. Fikar, M. Kvasnica, K. Macušková (FCHPT), C. Belavý, G. Hulkó, B. Rohaľ-Ilkiv (SjF)

Publications

2021

  1. J. OravecM. Horváthová – M. Bakošová: Multivariable Robust MPC Design for Neutralization Plant: Experimental Analysis. European Journal of Control, vol. 58, pp. 289–300, 2021.
  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.

2020

  1. M. HorváthováJ. Oravec – M. Bakošová: Efficient Convex-Lifting-Based Robust Control of a Chemical Reactor. Chemical Engineering Transactions, vol. 81, pp. 865–870, 2020.
  2. M. HorváthováJ. Oravec – M. Bakošová: Real-Time Convex-lifting-based Robust Control Using Approximated Control Law. In 59th IEEE Conference on Decision and Control, Jeju Island, Republic of Korea, vol. 59, pp. 2160–2165, 2020.
  3. J. OravecM. Horváthová – M. Bakošová: Energy efficient convex-lifting-based robust control of a heat exchanger. Energy reports, no. 201, pp. 117566, 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.
  5. 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.

2019

  1. P. BakaráčM. Kvasnica: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical papers, no. 3, vol. 73, pp. 611–618, 2019.
  2. K. FedorováP. BakaráčM. Kvasnica: Comparison of Two Approaches to Agile Manoeuvres via MPC. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  3. K. FedorováP. BakaráčM. Kvasnica: Agile Manoeuvres using Model Predictive Control. Acta Chimica Slovaca, no. 1, vol. 12, pp. 136–141, 2019.
  4. M. FurkaM. Klaučo: Development and Implementation of Control Algorithms for Furuta Pendulum. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  5. 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.
  6. K. KišM. Klaučo: Neural Networks Trained as Explicit Tunable MPC Feedback Controllers. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  7. M. KlaučoM. KalúzM. Kvasnica: Machine learning-based warm starting of active set methods in embedded model predictive control. Engineering Applications of Artificial Intelligence, vol. 77, pp. 1–8, 2019.
  8. M. KlaučoM. Kvasnica: MPC-Based Reference Governors, Editor(s): M. J. Grimble, A. Ferrara, Springer, 2019.
  9. M. KvasnicaP. BakaráčM. Klaučo: Complexity reduction in explicit MPC: A reachability approach. Systems & Control Letters, vol. 124, pp. 19–26, 2019.
  10. J. Oravec – M. Bakošová: Collection of Robust Control Examples (in Slovak), Vydavateľstvo FCHPT, FCHPT STU, Radlinského 9, 812 37 Bratislava, 2019.
  11. J. Oravec – M. Bakošová – L. Galčíková – M. Slávik – M. HorváthováA. Mészáros: Soft-constrained robust model predictive control of a plate heat exchanger: Experimental analysis. Energy, vol. 180, pp. 303–314, 2019.
  12. J. OravecJ. HolazaM. Horváthová – N. A. Nguyen – M. Kvasnica – M. Bakošová: Convex-lifting-based robust control design using the tunable robust invariant sets. European Journal of Control, vol. 49, pp. 44–52, 2019.
  13. R. PaulenM. 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.
  14. R. PaulenM. 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.
  15. A. Sharma – R. ValoM. KalúzR. PaulenM. Fikar: Implementation of optimal strategy to economically improve batch membrane separation. Journal of Process Control, vol. 76, pp. 155–164, 2019.

2018

  1. M. KlaučoĽ. Čirka – J. Kukla: Non-linear model predictive control of conically shaped liquid storage tanks. Acta Chimica Slovaca, no. 2, vol. 11, pp. 141–146, 2018.
  2. M. KlaučoM. Kvasnica: Towards On-Line Tunable Explicit MPC Using Interpolation. In Preprints of the 6th IFAC Conference on Nonlinear Model Predictive Control, Madison, Wisconsin, USA, 2018.
  3. R. PaulenM. Fikar: Dual robust control of batch processes based on optimality-conditions parameterization. In Preprints, 10th IFAC International Symposium on Advanced Control of Chemical Processes Shenyang, Liaoning, China, July 25-27, 2018, Elsevier, pp. 768–773, 2018.
  4. U. Sharma – S. Thangavel – A. R. Gottu Mukkula – R. Paulen: Effective Recursive Parallelotopic Bounding for Robust Output-Feedback Control. In 18th IFAC Symposium on System Identification, IFAC, pp. 1032–1035, 2018.
  5. S. Thangavel – S. Lucia – R. Paulen – S. Engell: Dual robust nonlinear model predictive control: A multi-stage approach. Journal of Process Control, vol. 72, pp. 39–51, 2018.

2017

  1. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Optimal Operation of Nanofilter Based Diafiltration Processes Using Experimental Permeation Models. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 185–190, 2017.

2016

  1. M. Jelemenský – M. KlaučoR. Paulen – J. Lauwers – F. Logist – J. Van Impe – M. Fikar: Time-Optimal Control and Parameter Estimation of Diafiltration Processes in the Presence of Membrane Fouling. In 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, vol. 11, pp. 242–247, 2016.
  2. M. Jelemenský – D. Pakšiová – R. Paulen – M. A. Latifi – M. Fikar: Combined Estimation and Optimal Control of Batch Membrane Processes. Processes, no. 4, vol. 4, 2016.
  3. M. Jelemenský – A. Sharma – R. PaulenM. Fikar: Time-optimal control of diafiltration processes in the presence of membrane fouling. Computers & Chemical Engineering, vol. 91, pp. 343–351, 2016.
  4. R. PaulenM. Fikar: Optimal Operation of Batch Membrane Processes, Springer, 2016.
  5. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Estimation of membrane fouling parameters for concentrating lactose using nanofiltration. Editor(s): Zdravko Kravanja, Miloš Bogataj, In 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, vol. 26, pp. 151–156, 2016.
  6. A. Sharma – M. Jelemenský – R. ValoM. KalúzM. Fikar: Process Control Education using a Laboratory Separation Process. In Preprints of the 11th IFAC Symposium on Advances in Control Education, vol. 11, pp. 4–9, 2016.

2015

  1. M. Jelemenský – A. Sharma – R. PaulenM. Fikar: Time-optimal Operation of Diafiltration Processes in the Presence of Fouling. Editor(s): Krist V. Gernaey and Jakob K. Huusom and Rafiqul Gani, In 12th International Symposium on Process Systems Engineering And 25th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Copenhagen, Denmark, pp. 1577–1582, 2015.
  2. M. Jelemenský – A. Sharma – R. PaulenM. Fikar: Multi-Objective Optimization of Batch Dialfiltration Processes in the Presence of Membrane Fouling. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 84–89, 2015.
  3. M. KalúzM. KlaučoM. Kvasnica: Real-Time Implementation of a Reference Governor on the Arduino Microcontroller. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 350–356, 2015.
  4. M. Mendel – G. Hulkó – A. Mészáros: Control of Groundwater Remediation Process as Distributed Parameter System. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 326–331, 2015.
  5. J. Oravec – M. Bakošová: Robust Model-Based Predictive Control of Exothermic Chemical Reactor. Chemical Papers, no. 7, vol. 69, 2015.
  6. R. Paulen – M. Jelemenský – Z. Kovacs – M. Fikar: Economically optimal batch diafiltration via analytical multi-objective optimal control. Journal of Process Control, vol. 28, pp. 73–82, 2015.
  7. A. Sharma – M. Fikar – M. Bakošová: Comparative study of Time Optimal Controller with PID Controller for a Continuous Stirred Tank Reactor. Acta Chimica Slovaca, no. 1, vol. 8, pp. 27–33, 2015.
  8. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Modelling and Optimal Control of Membrane Process with Partial Recirculation. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 90–95, 2015.

2014

  1. M. Bakošová – J. Oravec: Robust MPC of an Unstable Chemical Reactor Using the Nominal System Optimization. Acta Chimica Slovaca, no. 2, vol. 7, pp. 87–93, 2014.

Investigators

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