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Anton Savchenko
Anton Savchenko
Research Group Leader, TU Darmstadt
Verified email at iat.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative–quantitative modeling
S Streif, A Savchenko, P Rumschinski, S Borchers, R Findeisen
Bioinformatics 28 (9), 1290-1291, 2012
432012
Complete diagnosability of abrupt faults using set-based sensitivities
A Savchenko, P Rumschinski, S Streif, R Findeisen
Proc. 8th IFAC Symposium on Fault Detection, Supervision and Safety of …, 2012
172012
Fault diagnosis for polynomial hybrid systems
A Savchenko, P Rumschinski, R Findeisen
Proc. IFAC World Congress, 2755-2760, 2011
142011
Complete fault diagnosis of uncertain polynomial systems
P Rumschinski, J Richter, A Savchenko, S Borchers, J Lunze, R Findeisen
Proc. IFAC Symp. Dyn. Control Proc. Syst.(DyCoPs), 127-132, 2010
142010
Towards nominal stability certification of deep learning-based controllers
HH Nguyen, J Matschek, T Zieger, A Savchenko, N Noroozi, R Findeisen
2020 American Control Conference (ACC), 3886-3891, 2020
122020
Controller verification and parametrization subject to quantitative and qualitative requirements
P Andonov, A Savchenko, P Rumschinski, S Streif, R Findeisen
Proc. of the International Symposium on Advanced Control of Chemical …, 2015
102015
Towards Risk-aware Machine Learning Supported Model Predictive Control and Open-loop Optimization for Repetitive Processes
B Morabito, J Pohlodek, J Matschek, A Savchenko, L Carius, R Findeisen
IFAC-PapersOnLine 54 (6), 321-328, 2021
72021
Towards Safe Neural Network Supported Model Predictive Control
T Zieger, A Savchenko, T Oehlschlägel, R Findeisen
IFAC-PapersOnLine 53 (2), 5246-5251, 2020
62020
Improved Robust Predictive Control for Lur’e Systems Using Set-based Learning
HH Nguyen, A Savchenko, S Yu, R Findeisen
IFAC-PapersOnLine 51 (20), 487-492, 2018
62018
Guaranteed Set-based Controller Parameter Estimation for Nonlinear Systems–Magnetic Levitation Platform as a Case Study
A Savchenko, P Andonov, S Streif, R Findeisen
IFAC World Congress, 2014
52014
Mathematical optimization and machine learning for efficient urban traffic
J Bethge, R Findeisen, D Duc Le, M Merkert, S Sager, A Savchenko, ...
German Success Stories in Industrial Mathematics, 113-120, 2022
32022
Efficient Set-based Process Monitoring and Fault Diagnosis
A Savchenko
Shaker Verlag Aachen, 2017
32017
Structural problem reduction for set-based fault diagnosis
A Savchenko, P Rumschinski, S Streif, R Findeisen
Proc. IFAC Symp. Dyn. Contr. Proc. Syst.(DYCOPS), 860-865, 2013
32013
Stochastic model predictive control utilizing Bayesian neural networks
J Pohlodek, H Alsmeier, B Morabito, C Schlauch, A Savchenko, ...
2023 American Control Conference (ACC), 603-608, 2023
22023
Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management
P Andonov, B Morabito, A Savchenko, R Findeisen
2018 European Control Conference (ECC), 2338-2343, 2018
22018
Multi-objective complexity reduction for set-based fault diagnosis
A Savchenko, P Andonov, P Rumschinski, R Findeisen
2017 6th International Symposium on Advanced Control of Industrial Processes …, 2017
22017
Extended Formulations for MINLP Problems by Value Decompositions
UU Haus, D Michaels, A Savchenko
Proceedings of the EngOpt 2008 conference, 2008
22008
High-Resolution Pixelwise Contact Area and Normal Force Estimation for the GelSight Mini Visuotactile Sensor Using Neural Networks
N Funk, PO Müller, B Belousov, A Savchenko, R Findeisen, J Peters
Embracing Contacts-Workshop at ICRA 2023, 2023
12023
One-Step Safe Neural Network Supported Control
T Zieger, A Savchenko, T Oehlschlaegel, R Findeisen
2021 American Control Conference (ACC), 514-519, 2021
12021
Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods
P Andonov, A Savchenko, R Findeisen
2019 American Control Conference (ACC), 2795-2800, 2019
12019
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