Oliver Nelles

Orcid: 0000-0002-9471-8106

According to our database1, Oliver Nelles authored at least 73 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimized Excitation Signal Design Employing Receding Horizon Control.
CoRR, 2024

Optimized Excitation Signal Tailored to Pertinent Dynamic Process Characteristics.
CoRR, 2024

Optimization of Fuel Consumption for Rule-Based Energy Management Strategies of Hybrid Electric Vehicles: SOC Compensation Methods.
IEEE Access, 2024

On the Choice of the Scheduling Variables for Dynamic Local Model Networks with Local Regularized FIR Models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Handling of Time Delays in MISO Processes with Regularized Finite Impulse Response Models.
Proceedings of the European Control Conference, 2024

Physical-Inspired State Space Structure for Nonlinear Gray-Box Modeling.
Proceedings of the 10th International Conference on Control, 2024

2023
Latin hypercubes for constrained design of experiments for data-driven models.
Autom., October, 2023

Handling of time delays in system identification with regularized FIR models.
Autom., October, 2023

Uniform Design of Experiments for Equality Constraints.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Nonlinear Dynamic System Identification of Separation Unit for Raw Materials.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
Parameter Identification of an Electric Powertrain with Backlash.
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

Excitation Signal Design and Modeling Benchmark of NOx Emissions of a Diesel Engine.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Estimation of Torsional Backlash Angle in Electric Powertrains.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
Optimization Approaches for Nonlinear State Space Models.
IEEE Control. Syst. Lett., 2021

Identification of a potable water system.
Autom., 2021

Compressing Interpretable Representations of Piecewise Linear Neural Networks using Neuro-Fuzzy Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Space-Filling Designs for Experiments with Assembled Products.
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
Incremental Latin Hypercube Additive Design for LOLIMOT.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019
Benchmarking in classification and regression.
WIREs Data Mining Knowl. Discov., 2019

Fast and simple dataset selection for machine learning.
Autom., 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

Deep Recurrent Neural Networks for Nonlinear System Identification.
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

Pole Determination for Takagi-Sugeno Fuzzy Laguerre Models.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Local Model Networks for the Identification of Nonlinear State Space Models.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Nonlinear system identification with regularized local FIR model networks.
Eng. Appl. Artif. Intell., 2018

Gray-box identification with regularized FIR models.
Autom., 2018

Editorial.
Autom., 2018

Excitation signal design for nonlinear dynamic systems with multiple inputs - A data distribution approach.
Autom., 2018

Improved Incorporation of Prior Knowledge for Regularized FIR Model Identification.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Order of experimentation and advisability of corner measurements.
Autom., 2017

Generalizing piecewise affine system identification to local model networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Normalized L1 regularization for axis-oblique tree construction algorithms.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Iterative Excitation Signal Design for Nonlinear Dynamic Black-Box Models.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Hierarchical model predictive control for Local Model Networks.
Proceedings of the 2017 American Control Conference, 2017

2016
Efficient pole optimization of nonlinear laguerre filter models.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Automated order determination strategies for nonlinear dynamic models.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Order of experimentation for metamodeling tasks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Local model network with regularized MISO finite impulse response models.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Interpretation and Analysis of Input Selection Approaches in Distance Space.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Extended Deterministic Local Search Algorithm for Maximin Latin Hypercube Designs.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Proposal for a function generator and extrapolation analysis.
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

2014
Identifikation mit achsenschrägen, lokal polynomialen Modellnetzen.
Autom., 2014

Merging Strategy for Local Model Networks Based on the Lolimot Algorithm.
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

One-class LS-SVM with zero leave-one-out error.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2012
Structure trade-off strategy for local model networks.
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

Supervised Hierarchical Clustering in Fuzzy Model Identification.
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

Reliable nearest neighbors for lazy learning.
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

Multilayer Perceptron Network with Modified Sigmoid Activation Functions.
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
Learning strategies for local model networks with higher degree polynomials.
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

SUpervised HIerarchical CLUSTering (SUHICLUST) for nonlinear system identification.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Control and Automation, 2009

On the smoothness in local model networks.
Proceedings of the American Control Conference, 2009

Local Model Networks for the Optimization of a Tablet Production Process.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008
Rolf Isermann wird 70.
Autom., 2008

2001
Genetic programming for model selection of TSK-fuzzy systems.
Inf. Sci., 2001

Nonlinear internal model control based on local linear neural networks.
Proceedings of the IEEE International Conference on Systems, 2001

1999
Nonlinear system identification with local linear neuro-fuzzy models.
PhD thesis, 1999

Linearization based and local model based controller design.
Proceedings of the 5th European Control Conference, 1999

1998
Structure Optimization of Takagi-Sugeno Fuzzy Models.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998

Predictive control based on local linear fuzzy models.
Int. J. Syst. Sci., 1998

1996
Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic Systems.
Proceedings of the Artificial Neural Networks, 1996


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