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1. Y. Jiang – J. Su – J. Oravec – S. Olaru: High-performance real-time model predictive control via operator splitting for embedded applications. Systems & Control Letters, vol. 218, 2026.
2. A. Fedor – R. Paulen: Data Reconciliation and Model-Based Optimization of Polyethylene Pyrolysis. Editor(s): Mariano Martín Martín and Antonio Sánchez, In Computer Aided Process Engineering, CAPE Forum, pp. 88–88, 2026.
3. V. Baláž – F. Filip – J. T. Tóth – T. Visnyai: Some ideals, their properties and ideal convergence with respect to matrix summability. In JSU International Scientific Conference, 18, Book of Abstracts, pp. 12–12, 2026.
4. R. Fáber – M. Vaccari – R. Bacci di Capaci – K. Ľubušký – G. Pannocchia – R. Paulen: Physics-guided multi-fidelity soft sensing for online analyzer consistency monitoring. Chemical Engineering Research and Design, vol. 234, pp. 112–125, 2026.
5. P. Arbetová – R. Fáber – K. Ľubušký – R. Paulen: A Practical Framework for Process Anomaly Detection Analysis in Multivariate Time Series. In Preprints of the 23rd World Congress of the International Federation of Automatic Control, pp. 1773–1778, 2026.
6. A. Lohani – A. Fedor – J. Kurucz – R. Paulen: Integrated Soft Sensor Design and Optimal Control of Supersaturation in Batch Sugar Crystallization. In Preprints of the 23rd World Congress of the International Federation of Automatic Control, pp. 8348–8351, 2026.  
7. R. Fáber – M. Vaccari – R. Bacci di Capaci – G. Pannocchia – R. Paulen: A Multi-Fidelity Residual-Correction Framework for Industrial Soft Sensing. In 2026 European Control Conference (ECC), IEEE, Reykjavík, Iceland, pp. 1659–1664, 2026.
8. J. Holaza – E. Plšičík Pavlovičová – S. Serhiienko – J. Oravec: End-to-End Elastic Tube MPC: Design, Analysis, and Embedded Implementation. In Preprints of the 23rd World Congress of the International Federation of Automatic Control, pp. 2251–2256, 2026.
9. J. Vargan – G. Kurucz – M. Klaučo – M. A. Latifi – M. Fikar: Constraints Reduction in a Multi-model Predictive Controller Applied to a Propylene Polymerization Reactor. In Preprints of the 23rd World Congress of the International Federation of Automatic Control, 2026.   Zenodo
10. M. Horváthová – Y. Jiang – J. Holaza – S. Olaru – J. Oravec: Variance-Adaptive Approximated Model Predictive Control. In 2026 European Control Conference (ECC), IEEE, Reykjavík, Iceland, pp. 523–529, 2026.
11. P. Valábek – M. Horváthová – M. Klaučo: Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit. In 2026 European Control Conference (ECC), IEEE, Reykjavík, Iceland, pp. 19–24, 2026.
12. W. Daosud – J. Vargan – M. Arıcı – P. Kittisupakorn – M. Fikar: Enhanced offset-free multi-model predictive control for nonlinear processes: A neural network-based cost aggregation approach. Heliyon, no. 14, vol. 12, 2026.
13. I. Pérez-del-Notario – X. Gonzales - Garcia – Ľ. Horanská – P. Oria-Iriarte – J. Fernandez – G. Pereira-Dimuro – H. Bustince: Flexible fusion models for improving the early warning of river floodings, based on a generalization of Takagi-Sugeno-Kang inference system. Fuzzy Sets and Systems, vol. 543, pp. 1–53, 2026.
14. R. Fáber – K. Ľubušký – R. Paulen: A Hybrid Data-Driven Approach for the Optimization of an Industrial Alkylation Unit. In Systems and Control Transactions, vol. 5, pp. 2481–2487, 2026.
15. J. Gaborčík – K. Ľubušký – R. Paulen: Data Reconciliation for Inventory Monitoring in a Petrol Refinery. In Systems and Control Transactions, vol. 5, pp. 2505–2510, 2026.
16. J. Vargan – K. Ľubušký – M. Fikar – M. A. Latifi: Modelling and Parameter Estimation of Propylene Polymerisation Reactor: Industrial Case Study. In Proceedings of the 36th European Symposium on Computer Aided Process Engineering, 2026.   Zenodo
17. A. Lohani – A. Fedor – J. Kurucz – R. Paulen: Real-Time Estimation and Optimal Control of Supersaturation in Sugar Crystallization using Model-based Soft Sensor. In Systems and Control Transactions, vol. 5, pp. 2497–2504, 2026.
18. Y. Narukawa – Z. Ontkovičová – V. Torra: Derivative for Discrete Sugeno Integral. In Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer Nature, pp. 31–42, 2026.
19. Ľ. Horanská – Z. Ontkovičová – Z. Takáč: On admissible permutations for betweenness relation. In BOOK OF ABSTRACTS Uncertainty Modelling 2026, pp. 17–17, 2026.
20. M. Zatkalík: Predictive Control of Dynamic Systems. Bachelor's thesis, ÚIAM FCHPT STU v Bratislave, Radlinského 9, 812 37 Bratislava, 2026.