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Oliver Nelles
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2020 – today
- 2024
- [j19]Ralf Sauermann
, Frank Kirschbaum, Oliver Nelles
Optimization of Fuel Consumption for Rule-Based Energy Management Strategies of Hybrid Electric Vehicles: SOC Compensation Methods. IEEE Access 12: 112594-112604 (2024) - [c52]Hermann Klein, Max Schüssler, Oliver Nelles:
Physical-Inspired State Space Structure for Nonlinear Gray-Box Modeling. CoDIT 2024: 2609-2614 - [c51]Christopher Illg, Tarek Kösters, Oliver Nelles:
Handling of Time Delays in MISO Processes with Regularized Finite Impulse Response Models. ECC 2024: 3545-3550 - [c50]Christopher Illg, Tarek Kösters, Oliver Nelles:
On the Choice of the Scheduling Variables for Dynamic Local Model Networks with Local Regularized FIR Models. FUZZ 2024: 1-8 - [i2]Max Heinz Herkersdorf, Tarek Kösters, Oliver Nelles:
Optimized Excitation Signal Tailored to Pertinent Dynamic Process Characteristics. CoRR abs/2410.00500 (2024) - [i1]Max Heinz Herkersdorf, Oliver Nelles:
Optimized Excitation Signal Design Employing Receding Horizon Control. CoRR abs/2410.00504 (2024) - 2023
- [j18]Fabian Schneider, Ralph J. Hellmig, Oliver Nelles:
Latin hypercubes for constrained design of experiments for data-driven models. Autom. 71(10): 820-832 (2023) - [j17]Tarek Kösters, Christopher Illg, Oliver Nelles:
Handling of time delays in system identification with regularized FIR models. Autom. 71(10): 833-844 (2023) - [c49]Tarek Kösters, Oliver Nelles:
Nonlinear Dynamic System Identification of Separation Unit for Raw Materials. CCTA 2023: 992-997 - [c48]Fabian Schneider, Ralph J. Hellmig, Oliver Nelles
Uniform Design of Experiments for Equality Constraints. IDEAL 2023: 311-322 - 2022
- [c47]Volker Smits, Max Schüssler, Geritt Kampmann, Christopher Illg, Tim Decker, Oliver Nelles:
Excitation Signal Design and Modeling Benchmark of NOx Emissions of a Diesel Engine. CCTA 2022: 907-912 - [c46]Melanie Heinz, Marc Reichenbacher, Oliver Nelles:
Estimation of Torsional Backlash Angle in Electric Powertrains. CCTA 2022: 1017-1022 - [c45]Leon Glass, Wael Hilali, Oliver Nelles:
Rectified Linear Unit based Local Linear Model Tree for Nonlinear System Identification Incorporating Prior Knowledge. CDC 2022: 1509-1514 - [c44]Volker Smits, Oliver Nelles:
Space-filling Optimization of Excitation Signals for Nonlinear System Identification. ICINCO 2022: 255-262 - [c43]Tim Voigt, Marvin Schöne, Martin Kohlhase
Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes. IDEAL 2022: 379-390 - [c42]Melanie Heinz, Oliver Nelles:
Parameter Identification of an Electric Powertrain with Backlash. MED 2022: 330-335 - 2021
- [j16]Timm J. Peter, Max Schüssler
Identification of a potable water system. Autom. 69(10): 870-879 (2021) - [j15]Max Schüssler
Optimization Approaches for Nonlinear State Space Models. IEEE Control. Syst. Lett. 5(4): 1375-1380 (2021) - [c41]Max Schüssler, Oliver Nelles:
Optimization Approaches for Nonlinear State Space Models. ACC 2021: 3933-3938 - [c40]Volker Smits, Oliver Nelles:
Genetic Optimization of Excitation Signals for Nonlinear Dynamic System Identification. ICINCO 2021: 138-145 - [c39]Tim Voigt, Marvin Schöne, Martin Kohlhase
Space-Filling Designs for Experiments with Assembled Products. MSIE 2021: 192-199 - [c38]Leon Glass
Compressing Interpretable Representations of Piecewise Linear Neural Networks using Neuro-Fuzzy Models. SSCI 2021: 1-8 - 2020
- [c37]Tim Voigt, Martin Kohlhase
Incremental Latin Hypercube Additive Design for LOLIMOT. ETFA 2020: 1602-1609
2010 – 2019
- 2019
- [j14]Timm J. Peter, Oliver Nelles:
Fast and simple dataset selection for machine learning. Autom. 67(10): 833-842 (2019) - [j13]Frank Hoffmann, Torsten Bertram, Ralf Mikut
Benchmarking in classification and regression. WIREs Data Mining Knowl. Discov. 9(5) (2019) - [c36]Max Schüssler
Local Model Networks for the Identification of Nonlinear State Space Models. CDC 2019: 6437-6442 - [c35]Tim Oliver Heinz, Tobias Ebert, Oliver Nelles:
Pole Determination for Takagi-Sugeno Fuzzy Laguerre Models. FUZZ-IEEE 2019: 1-6 - [c34]Andre Mayer, Christian Gletter, Oliver Nelles, Josef Kallo, Thomas Winsel:
Two-Dimensional ECMS for System Analysis of Hybrid Concepts featuring Two Electric Traction Motors. ISSE 2019: 1-8 - [c33]Max Schüssler
Deep Recurrent Neural Networks for Nonlinear System Identification. SSCI 2019: 448-454 - [c32]Christian Gletter, Andre Mayer, Josef Kallo, Thomas Winsel, Oliver Nelles:
A Novel Approach for Development of Neural Network based Electrical Machine Models for HEV System-level Design Optimization. VEHITS 2019: 17-24 - 2018
- [j12]Steffen Leonhardt
Editorial. Autom. 66(9): 688-689 (2018) - [j11]Tobias Münker, Timm J. Peter, Oliver Nelles:
Gray-box identification with regularized FIR models. Autom. 66(9): 704-713 (2018) - [j10]Tim Oliver Heinz, Oliver Nelles:
Excitation signal design for nonlinear dynamic systems with multiple inputs - A data distribution approach. Autom. 66(9): 714-724 (2018) - [j9]Tobias Münker, Oliver Nelles:
Nonlinear system identification with regularized local FIR model networks. Eng. Appl. Artif. Intell. 67: 345-354 (2018) - [c31]Tobias Münker, Julian Belz, Oliver Nelles:
Improved Incorporation of Prior Knowledge for Regularized FIR Model Identification. ACC 2018: 1090-1095 - 2017
- [j8]Julian Belz, Oliver Nelles:
Order of experimentation and advisability of corner measurements. Autom. 65(3): 156 (2017) - [c30]Tobias Münker, Tim Oliver Heinz, Oliver Nelles:
Hierarchical model predictive control for Local Model Networks. ACC 2017: 5026-5031 - [c29]Tim Oliver Heinz, Oliver Nelles:
Iterative Excitation Signal Design for Nonlinear Dynamic Black-Box Models. KES 2017: 1054-1061 - [c28]Julian Belz, Oliver Nelles:
Normalized L1 regularization for axis-oblique tree construction algorithms. SSCI 2017: 1-7 - [c27]Tobias Münker, Oliver Nelles:
Generalizing piecewise affine system identification to local model networks. SSCI 2017: 1-7 - 2016
- [c26]Tobias Münker, Oliver Nelles:
Local model network with regularized MISO finite impulse response models. FUZZ-IEEE 2016: 1-8 - [c25]Julian Belz, Konrad Bamberger, Oliver Nelles:
Order of experimentation for metamodeling tasks. IJCNN 2016: 4843-4849 - [c24]Julian Belz, Tim Oliver Heinz, Oliver Nelles:
Automated order determination strategies for nonlinear dynamic models. SSCI 2016: 1-8 - [c23]Tim Oliver Heinz, Oliver Nelles:
Efficient pole optimization of nonlinear laguerre filter models. SSCI 2016: 1-7 - 2015
- [c22]Julian Belz, Oliver Nelles:
Proposal for a function generator and extrapolation analysis. INISTA 2015: 1-6 - [c21]Tim Oliver Heinz, Oliver Nelles:
Interpretation and Analysis of Input Selection Approaches in Distance Space. SSCI 2015: 367-374 - [c20]Tobias Ebert, Torsten Fischer, Julian Belz, Tim Oliver Heinz, Geritt Kampmann, Oliver Nelles:
Extended Deterministic Local Search Algorithm for Maximin Latin Hypercube Designs. SSCI 2015: 375-382 - 2014
- [j7]Benjamin Hartmann, Oliver Nelles:
Identifikation mit achsenschrägen, lokal polynomialen Modellnetzen. Autom. 62(6): 394-407 (2014) - [c19]Geritt Kampmann, Oliver Nelles:
One-class LS-SVM with zero leave-one-out error. CICA 2014: 1-6 - [c18]Tobias Ebert, Julian Belz, Oliver Nelles:
Interpolation and extrapolation: Comparison of definitions and survey of algorithms for convex and concave hulls. CIDM 2014: 310-314 - [c17]Torsten Fischer, Oliver Nelles:
Merging Strategy for Local Model Networks Based on the Lolimot Algorithm. ICANN 2014: 153-160 - 2012
- [c16]Benjamin Hartmann, Oliver Nelles:
Structure trade-off strategy for local model networks. CCA 2012: 451-456 - 2011
- [j6]Benjamin Hartmann, Oliver Bänfer, Oliver Nelles
Supervised Hierarchical Clustering in Fuzzy Model Identification. IEEE Trans. Fuzzy Syst. 19(6): 1163-1176 (2011) - [j5]Luka Teslic, Benjamin Hartmann, Oliver Nelles
Nonlinear System Identification by Gustafson-Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process. IEEE Trans. Neural Networks 22(12): 1941-1951 (2011) - [c15]Benjamin Hartmann, Jochen Moll, Oliver Nelles, Claus-Peter Fritzen:
Hierarchical local model trees for design of experiments in the framework of ultrasonic structural health monitoring. CCA 2011: 1163-1170 - [c14]Oliver Bänfer, Geritt Kampmann, Oliver Nelles:
Multi-step-ahead optimal learning strategy for local model networks with higher degree polynomials. ACC 2011: 2448-2449 - [c13]Tobias Ebert, Geritt Kampmann, Oliver Nelles:
Reliable nearest neighbors for lazy learning. ACC 2011: 3041-3046 - [c12]Benjamin Hartmann, Tobias Ebert, Oliver Nelles:
Model-based design of experiments based on local model networks for nonlinear processes with low noise levels. ACC 2011: 5306-5311 - 2010
- [c11]Benjamin Hartmann, Jochen Moll, Oliver Nelles
Modeling of Nonlinear Wave Velocity Characteristics in a Structural Health Monitoring System. CCA 2010: 1011-1016 - [c10]Tobias Ebert, Oliver Bänfer, Oliver Nelles:
Multilayer Perceptron Network with Modified Sigmoid Activation Functions. AICI (1) 2010: 414-421 - [c9]Oliver Bänfer, Benjamin Hartmann, Oliver Nelles:
Comparison of different subset selection algorithms for learning local model networks with higher degree polynomials. ICARCV 2010: 30-35
2000 – 2009
- 2009
- [c8]Benjamin Hartmann, Oliver Nelles, Ales Belic, Damjana Zupancic-Bozic:
Local Model Networks for the Optimization of a Tablet Production Process. AICI 2009: 241-250 - [c7]Benjamin Hartmann, Oliver Nelles
On the smoothness in local model networks. ACC 2009: 3573-3578 - [c6]Benjamin Hartmann, Oliver Nelles, Igor Skrjanc, Anton Sodja:
SUpervised HIerarchical CLUSTering (SUHICLUST) for nonlinear system identification. CICA 2009: 41-48 - [c5]Benjamin Hartmann, Oliver Nelles:
Automatic adjustment of the transition between local models in a hierarchical structure identification algorithm. ECC 2009: 1599-1604 - [c4]Oliver Bänfer, Oliver Nelles:
Learning strategies for local model networks with higher degree polynomials. ICONS 2009: 490-495 - 2008
- [j4]Steffen Leonhardt, Oliver Nelles:
Rolf Isermann wird 70. Autom. 56(8): 453-454 (2008) - 2001
- [j3]Frank Hoffmann, Oliver Nelles
Genetic programming for model selection of TSK-fuzzy systems. Inf. Sci. 136(1-4): 7-28 (2001) - [c3]Alexander Fink, Oliver Nelles:
Nonlinear internal model control based on local linear neural networks. SMC 2001: 117-122
1990 – 1999
- 1999
- [b1]Oliver Nelles:
Nonlinear system identification with local linear neuro-fuzzy models. Darmstadt University of Technology, Germany, Shaker 1999, ISBN 978-3-8265-4880-2, pp. 1-179 - [c2]Alexander Fink, Oliver Nelles, Martin Fischer:
Linearization based and local model based controller design. ECC 1999: 3540-3545 - 1998
- [j2]Martin Fischer, Oliver Nelles, Rolf Isermann:
Predictive control based on local linear fuzzy models. Int. J. Syst. Sci. 29(7): 679-697 (1998) - [j1]Oliver Nelles:
Structure Optimization of Takagi-Sugeno Fuzzy Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6(2): 161-170 (1998) - 1996
- [c1]Oliver Nelles:
Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic Systems. ICANN 1996: 115-120
Coauthor Index
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last updated on 2024-11-14 00:56 CET by the dblp team
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