Oliver Nelles
Orcid: 0000-0002-9471-8106
According to our database1,
Oliver Nelles
authored at least 67 papers
between 1996 and 2023.
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Bibliography
2023
Autom., October, 2023
Autom., October, 2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
2022
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022
Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Space-filling Optimization of Excitation Signals for Nonlinear System Identification.
Proceedings of the 19th International Conference on Informatics in Control, 2022
Rectified Linear Unit based Local Linear Model Tree for Nonlinear System Identification Incorporating Prior Knowledge.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the IEEE Conference on Control Technology and Applications, 2022
Proceedings of the IEEE Conference on Control Technology and Applications, 2022
2021
IEEE Control. Syst. Lett., 2021
Compressing Interpretable Representations of Piecewise Linear Neural Networks using Neuro-Fuzzy Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the MSIE 2021: 3rd International Conference on Management Science and Industrial Engineering, Osaka, Japan, April 2, 2021
Genetic Optimization of Excitation Signals for Nonlinear Dynamic System Identification.
Proceedings of the 18th International Conference on Informatics in Control, 2021
2020
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
2019
WIREs Data Mining Knowl. Discov., 2019
A Novel Approach for Development of Neural Network based Electrical Machine Models for HEV System-level Design Optimization.
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Two-Dimensional ECMS for System Analysis of Hybrid Concepts featuring Two Electric Traction Motors.
Proceedings of the International Symposium on Systems Engineering, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Eng. Appl. Artif. Intell., 2018
Excitation signal design for nonlinear dynamic systems with multiple inputs - A data distribution approach.
Autom., 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015
2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Interpolation and extrapolation: Comparison of definitions and survey of algorithms for convex and concave hulls.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014
2012
Proceedings of the IEEE International Conference on Control Applications, 2012
2011
Nonlinear System Identification by Gustafson-Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process.
IEEE Trans. Neural Networks, 2011
IEEE Trans. Fuzzy Syst., 2011
Model-based design of experiments based on local model networks for nonlinear processes with low noise levels.
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
Multi-step-ahead optimal learning strategy for local model networks with higher degree polynomials.
Proceedings of the American Control Conference, 2011
Hierarchical local model trees for design of experiments in the framework of ultrasonic structural health monitoring.
Proceedings of the IEEE International Conference on Control Applications, 2011
2010
Comparison of different subset selection algorithms for learning local model networks with higher degree polynomials.
Proceedings of the 11th International Conference on Control, 2010
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010
Modeling of Nonlinear Wave Velocity Characteristics in a Structural Health Monitoring System.
Proceedings of the IEEE International Conference on Control Applications, 2010
2009
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009
Automatic adjustment of the transition between local models in a hierarchical structure identification algorithm.
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Control and Automation, 2009
Proceedings of the American Control Conference, 2009
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009
2008
2001
Proceedings of the IEEE International Conference on Systems, 2001
1999
PhD thesis, 1999
Proceedings of the 5th European Control Conference, 1999
1998
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998
1996
Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic Systems.
Proceedings of the Artificial Neural Networks, 1996