back to list

Dr.-Ing. Anton Savchenko

Contact

Books and Volumes
[1] A. Savchenko. Efficient Set-based Process Monitoring and Fault Diagnosis. PhD thesis, Otto-von-Guericke University Magdeburg, Magdeburg, Germany, 2017.
Journals Articles and Book Chapters (all peer reviewed)
[2] J. Bethge, R. Findeisen, D. D. Le, M. Merkert, H. Rewald, S. Sager, A. Savchenko, and S. Sorgatz. Mathematical optimization and machine learning for efficient urban traffic. German Success Stories in Industrial Mathematics, 35:113--120, 2021.
[1] S. Streif, A. Savchenko, P. Rumschinski, S. Borchers, and R. Findeisen. ADMIT: a toolbox for guaranteed model invalidation, estimation, and qualitative-quantitative modeling. Bioinformatics, 28(9):1290--1291, 2012.
Proceedings (peer reviewed)
[19] J. Pohlodek, H. Alsmeier, B. Morabito, C. Schlauch, A. Savchenko, and R. Findeisen, Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. In 2023 American Control Conference (ACC), San Diego, USA, 2023.
[18] B. Morabito, J. Pohlodek, J. Matschek, A. Savchenko, L. Carius, and R. Findeisen. Towards risk-aware machine learning supported model predictive control and open-loop optimization for repetitive processes. In 7th IFAC Conference on Nonlinear Model Predictive Control NMPC, Bratislava, Slovakia, 2021.
[17] T. Zieger, A. Savchenko, T. Oehlschlägel, and R. Findeisen. One-step safe neural network supported control. In 2021 American Control Conference (ACC), New Orleans, USA, 2021.
[16] P. Andonov, A. Savchenko, P. Rumschinski, T. Trenner, J. Neidig, and R. Findeisen. Monitoring and Verification of Event-driven Discrete Manufacturing Systems with Guarantees. In Conference on Control Technology and Applications (CCTA), pages 1029--1035, Montreal, Canada, 2020.
[15] H. H. Nguyen, J. Matschek, T. Zieger, A. Savchenko, N. Noroozi, and R. Findeisen. Towards nominal stability certification of deep learning-based controllers. In 2020 American Control Conference (ACC), pages 3886--3891, Denver, CO, USA, 2020.
[14] T. Zieger, A. Savchenko, T. Oehlschlägel, and R. Findeisen. Towards safe neural network supported model predictive control. In 2020 IFAC World Congress, pages 5320--5325, Berlin, Germany, 2020.
[13] P. Andonov, A. Savchenko, and R. Findeisen. Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods. In American Control Conference (ACC), pages 2795--2800, Philadelphia, USA, 2019.
[12] P. Andonov, B. Morabito, A. Savchenko, and R. Findeisen. Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. In European Control Conference (ECC), pages 2338--2343, Limasol, Cyprus, 2018.
[11] H. H. Nguyen, A. Savchenko, S. Yu, and R. Findeisen. Improved robust predictive control for lure systems using set-based learning. In Proceedings of 6th Nonlinear Model Predictive Control Conference (NMPC), pages 487--492, Madison, United States, 2018.
[10] A. Savchenko, P. Andonov, P. Rumschinski, and R. Findeisen. Multi-objective complexity reduction for set-based fault diagnosis. In Advanced Control of Industrial Processes (AdCONIP), 2017 6th International Symposium on, pages 589--594, Taipei, Taiwan, 2017.
[9] P. Andonov, A. Savchenko, P. Rumschinski, S. Streif, and R. Findeisen. Controller Verification and Parametrization Subject to Quantitative and Qualitative Requirements. In International Symposium on Advanced Control of Chemical Processes (ADCHEM), pages 1174--1179, Whistler, Canada, 2015.
[8] A. Savchenko, P. Andonov, S. Streif, and R. Findeisen. Guaranteed set-based controller parameter estimation for nonlinear systems--magnetic levitation platform as a case study. In IFAC World Congress, pages 4650--4655, Cape Town, South Africa, 2014.
[7] A. Savchenko, P. Rumschinski, S. Streif, and R. Findeisen. Structural problem reduction for set-based fault diagnosis. In IFAC Symposium on Dynamics and Control of Process Systems (DyCoPS), pages 595--600, Mumbai, India, 2013.
[6] A. Savchenko, P. Rumschinski, S. Streif, and R. Findeisen. Complete diagnosability of abrupt faults using set-based sensitivities. In International Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), pages 595--600, Mexico City, Mexico, 2012.
[5] A. Savchenko, P. Rumschinski, and R. Findeisen. Fault diagnosis for polynomial hybrid systems. In IFAC World Congress, pages 2755--2760, Milan, Italy, 2011.
[4] S. Maldonado, A. Savchenko, and R. Findeisen. Therapy discrimination via global sensitivity analysis of force-induced bone growth and adaptation. In Proc. of Computer-Aided Control System Design (CACSD'10), pages 499--505, Yokohama, Japan, 2010.
[3] P. Rumschinski, J. Richter, A. Savchenko, S. Borchers, J. Lunze, and R. Findeisen. Complete fault diagnosis of uncertain polynomial systems. In 9th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS-9, pages 127--132, Leuven, Belgium, 2010.
[2] P. Rumschinski, S. Borchers, A. Savchenko, and R. Findeisen. Advances in global parameter estimation approaches for biochemical reaction networks: An overview. In Proc. of Computer-Aided Control System Design (CACSD'10), Yokohama, Japan, 2010.
[1] U.-U. Haus, D. Michaels, and A. Savchenko. Extended formulations for MINLP problems by value decompositions. In International Conference on Engineering Optimization, 2008.
Loading...
Loading data from TUbiblio…

Error on loading data

An error has occured when loading publications data from TUbiblio. Please try again later.

  • {{ year }}

    • ({{ publication.date.toString().substring(0,4) }}):
      {{ publication.title }}.
      In: {{ publication.series }}, {{ publication.volume }}, In: {{ publication.book_title }}, In: {{ publication.publication }}, {{ publication.journal_volume}} ({{ publication.number }}), ppp. {{ publication.pagerange }}, {{ publication.place_of_pub }}, {{ publication.publisher }}, {{ publication.institution }}, {{ publication.event_location }}, {{ publication.event_dates }}, ISSN {{ publication.issn }}, e-ISSN {{ publication.eissn }}, ISBN {{ publication.isbn }}, {{ labels[publication.type]?labels[publication.type]:publication.type }}
    • […]

Number of items in this list: {{ publicationsList.length }}
Only the {{publicationsList.length}} latest publications are displayed here.

View complete list at TUbiblio View this list at TUbiblio