| Model predictive control of wind turbine fatigue via online rainflow-counting on stress history and prediction S Loew, D Obradovic, CL Bottasso Journal of Physics: Conference Series 1618 (2), 022041, 2020 | 16 | 2020 |
| Economic model predictive control of Li‐ion battery cyclic aging via online rainflow‐analysis S Loew, A Anand, A Szabo Energy Storage 3 (3), e228, 2021 | 14 | 2021 |
| Direct online rainflow-counting and indirect fatigue penalization methods for model predictive control S Loew, D Obradovic, CL Bottasso 2019 18th European Control Conference (ECC), 3371-3376, 2019 | 13 | 2019 |
| What are the benefits of lidar-assisted control in the design of a wind turbine? H Canet, S Loew, CL Bottasso Wind Energy Science 6 (5), 1325-1340, 2021 | 10 | 2021 |
| A comprehensive study on bearing behavior of cement–fly ash composites through experimental and probabilistic investigations A Anand, R Sarkar Innovative Infrastructure Solutions 6 (1), 39, 2021 | 8 | 2021 |
| Stage cost formulations of online rainflow-counting for model predictive control of fatigue S Loew, D Obradovic, A Anand, A Szabo 2020 European Control Conference (ECC), 475-482, 2020 | 8 | 2020 |
| Economic nonlinear model predictive control of fatigue for a hybrid wind-battery generation system A Anand, S Loew, CL Bottasso Journal of Physics: Conference Series 2265 (3), 032106, 2022 | 7 | 2022 |
| Economic nonlinear model predictive control of fatigue—Formulation and application to wind turbine control S Loew, D Obradovic, CL Bottasso Optimal Control Applications and Methods 44 (2), 647-676, 2023 | 5 | 2023 |
| Lidar-assisted model predictive control of wind turbine fatigue via online rainflow counting considering stress history S Loew, CL Bottasso Wind Energy Science 7 (4), 1605-1625, 2022 | 5 | 2022 |
| Economic control of hybrid energy systems composed of wind turbine and battery A Anand, S Loew, CL Bottasso 2021 European Control Conference (ECC), 2565-2572, 2021 | 4 | 2021 |
| Lidar-assisted control in wind turbine design: Where are the potential benefits? H Canet, S Löw, CL Bottasso Journal of Physics: Conference Series 1618 (4), 042020, 2020 | 4 | 2020 |
| Formulation of fatigue dynamics as hybrid dynamical system for model predictive control S Loew, D Obradovic IFAC-PapersOnLine 53 (2), 6616-6623, 2020 | 4 | 2020 |
| Real-time implementation of nonlinear model predictive control for mechatronic systems using a hybrid model S Loew, D Obradovic 2018 IEEE 14th International Conference on Automation Science and …, 2018 | 4 | 2018 |
| Model Predictive Control of Fatigue SH Löw Technische Universität München, 2022 | 1 | 2022 |
| Formulation of fatigue dynamics as hybrid automaton for model predictive control S Loew, D Obradovic Unpublished, 2019 | 1 | 2019 |
| Echtzeit-Implementierung von NMPC: Prädiktive Regelung für mechatronische Systeme unter Verwendung eines hybriden Modells S Löw, D Obradovic atp magazin 60 (08), 46-53, 2018 | 1 | 2018 |
| Real-time Nonlinear Model Predictive Control Predictive control for mechatronic systems using a hybrid model S Loew, D Obradovic ATP EDITION, 46-52, 2018 | 1 | 2018 |
| Offline Economic Active-Power Dispatch for Wind Farms Taking Fatigue into Account S Loew, D Obradovic, CL Bottasso Wind Energy Science Conference 2019, 2019 | | 2019 |
| Towards a Systems Perspective on Lidar-assisted Control: Some Preliminary Findings on the Turbine-Level Cost/Benefit Analysis CL Bottasso, H Canet, S Löw IEA Wind Task 32-37 Workshop, 2019 | | 2019 |
