| A simulative study on active disturbance rejection control (ADRC) as a control tool for practitioners G Herbst Electronics 2 (3), 246-279, 2013 | 233 | 2013 |
| Practical active disturbance rejection control: Bumpless transfer, rate limitation, and incremental algorithm G Herbst IEEE Transactions on Industrial Electronics 63 (3), 1754-1762, 2015 | 110 | 2015 |
| Online recognition of fuzzy time series patterns G Herbst, SF Bocklisch IFSA/EUSFLAT Conf., 974-979, 2009 | 26 | 2009 |
| Transfer function analysis and implementation of active disturbance rejection control G Herbst Control Theory and Technology 19, 19-34, 2021 | 22 | 2021 |
| Recognition of fuzzy time series patterns using evolving classification results G Herbst, SF Bocklisch Evolving Systems 1, 97-110, 2010 | 10 | 2010 |
| Classification of keystroke dynamics-a case study of fuzzified discrete event handling G Herbst, SR Bocklisch 2008 9th International Workshop on Discrete Event Systems, 394-399, 2008 | 10 | 2008 |
| Half-gain tuning for active disturbance rejection control G Herbst, AJ Hempel, T Göhrt, S Streif IFAC-PapersOnLine 53 (2), 1319-1324, 2020 | 8* | 2020 |
| A building-block approach to state-space modeling of DC-DC converter systems G Herbst J 2 (3), 247-267, 2019 | 8 | 2019 |
| Short-time prediction based on recognition of fuzzy time series patterns G Herbst, SF Bocklisch Computational Intelligence for Knowledge-Based Systems Design: 13th …, 2010 | 8 | 2010 |
| ADRC in output and error form: connection, equivalence, performance R Madonski, G Herbst, M Stankovic Control Theory and Technology 21 (1), 56-71, 2023 | 6 | 2023 |
| Tuning and implementation variants of discrete-time ADRC G Herbst, R Madonski Control Theory and Technology 21 (1), 72-88, 2023 | 6 | 2023 |
| Unscharfe Verfahren für lokale Phänomene in Zeitreihen G Herbst Dissertation, Chemnitz, Technische Universität Chemnitz, 2011, 2011 | 6* | 2011 |
| A minimum-footprint implementation of discrete-time ADRC G Herbst 2021 European Control Conference (ECC), 107-112, 2021 | 4 | 2021 |
| Learning non-convex fuzzy classifiers using single-class SVMs AJ Hempel, H Hähnel, G Herbst 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013 | 4 | 2013 |
| A hierarchical fuzzy approach to temporal pattern recognition G Herbst, SF Bocklisch 6th EUROSIM Congress on Modelling and Simulation, B. Zupancic, R. Karba, and …, 2007 | 4 | 2007 |
| Comment on “A Unified State-Space Model of Constant-Frequency Current-Mode Controlled Power Converters in Continuous Conduction Mode” G Herbst IEEE Transactions on Industrial Electronics 63 (5), 3198-3200, 2016 | 3 | 2016 |
| Fuzzy Situationserkennung einer mobilen Plattform G Herbst Diplomarbeit, TU Chemnitz, 2006 | 3* | 2006 |
| Towards evolving parametric fuzzy classifiers using a virtual sample generation approach H Hähnel, AJ Hempel, G Herbst 2015 Conference of the International Fuzzy Systems Association and the …, 2015 | 2 | 2015 |
| Fuzzy Models For Recurring Phenomena In Time Series G Herbst, SF Bocklisch Pregelj, Boštjan (Hrsg.): Proceedings of the 9th International PhD Workshop …, 2008 | 2 | 2008 |
| Building Hybrid Fuzzy Classifier Trees by Additive/Subtractive Composition of Sets AJ Hempel, H Hähnel, G Herbst Information Processing and Management of Uncertainty in Knowledge-Based …, 2014 | 1 | 2014 |
