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ORCIDAndreas Kroll
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- affiliation: Universität Kassel, Germany
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2020 – today
- 2024
[c43]Guilherme da Fonseca Pereira, Goran Jelicic, Andreas Kroll:
Spatio-temporal temperature models for growing 2D workpieces during DLD with emissivity compensation for thermal imaging. CCTA 2024: 310-315- 2023
- [j39]Ralf Mikut, Andreas Kroll, Horst Schulte:
Selected contributions from the Workshop "Computational Intelligence". Autom. 71(10): 817-819 (2023) - [c42]Felix Wittich, Andreas Kroll:
Data-Driven Structure Identification of Takagi Sugeno Fuzzy Models Using a Bounded Error Approach. FUZZ 2023: 1-6 - [c41]Axel Dürrbaum, Farzad Rezazadeh P., Andreas Kroll:
Automatic Camera-Based Advanced Slump Flow Testing for Improved Reliability. SENSORS 2023: 1-4 - [c40]Zhe Shen, Robert Schmoll, Andreas Kroll:
Measurement of Fluid Flow Velocity by Using Infrared and Visual Cameras: Comparison and Evaluation of Optical Flow Estimation Algorithms. SENSORS 2023: 1-4 - [c39]Farzad Rezazadeh P., Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll:
Leveraging Ensemble Structures to Elucidate the Impact of Factors That Influence the Quality of Ultra-High Performance Concrete. SSCI 2023: 180-187 - 2022
- [j38]Matthias Himmelsbach, Andreas Kroll:
Zum strukturvorwissensbasierten Testsignalentwurf mittels Vorsteuerung für die Identifikation von Takagi-Sugeno-Modellen. Autom. 70(2): 119-133 (2022) - [j37]Matthias Himmelsbach
, Andreas Kroll:
On Optimal Test Signal Design and Parameter Identification Schemes for Dynamic Takagi-Sugeno Fuzzy Models Using the Fisher Information Matrix. Int. J. Fuzzy Syst. 24(2): 1012-1024 (2022) - [c38]Alexander Rehmer, Marco Klute, Andreas Kroll, Hans-Peter Heim:
An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural Networks. CCTA 2022: 1427-1432 - [c37]Alexander Rehmer, Andreas Kroll:
A Deep Recurrent Neural Network Model for affine quasi-LPV System Identification. ECC 2022: 566-571 - [c36]Felix Wittich, Andreas Kroll:
Approximation of the Feasible Parameter Set in Bounded-Error Parameter Estimation of Takagi-Sugeno Fuzzy Models for Large Problems by Using a Ray Shooting Method. FUZZ-IEEE 2022: 1-7 - [c35]Alexander Rehmer, Andreas Kroll:
On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks*. ICSTCC 2022: 446-451 - [c34]Alexander Rehmer, Andreas Kroll:
The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization. IJCNN 2022: 1-8 - 2021
- [j36]Ralf Mikut, Andreas Kroll, Horst Schulte:
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. 69(10): 817-819 (2021) - [j35]Felix Wittich, Andreas Kroll:
Evaluation of methods for feasible parameter set estimation of Takagi-Sugeno models for nonlinear regression with bounded errors. Autom. 69(10): 836-847 (2021) - [j34]Andreas Kroll, Jana Fischer:
Zur approximativen Maximum-Likelihood-Schätzung dynamischer Multi-Modelle vom Typ Takagi-Sugeno: Methodik und Anwendung auf einen Servo-Pneumatikantrieb. Autom. 69(10): 858-869 (2021) - [j33]Axel Dürrbaum, Matthias Kahl, Matthias Himmelsbach, Andreas Kroll:
Toolbox zur Identifikation von Takagi-Sugeno-Fuzzy-Modellen. Autom. 69(10): 915-916 (2021) - 2020
- [j32]David Arengas, Andreas Kroll:
Data selection for system identification (DS4SID) from logged process records of continuously operated plants. Autom. 68(5): 347-359 (2020) - [c33]Johannes Rangel, Robert Schmoll, Andreas Kroll:
On Scene Flow Computation of Gas Structures with Optical Gas Imaging Cameras. WACV 2020: 174-182
2010 – 2019
- 2019
- [j31]Ralf Mikut, Andreas Kroll, Frank Hoffmann:
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. 67(10): 817-819 (2019) - [j30]Matthias Gringard, Andreas Kroll:
Zur Homogenisierung von Testsignalen für die nichtlineare Systemidentifikation. Autom. 67(10): 820-832 (2019) - [c32]David Arengas, Andreas Kroll:
A Data Selection Method for Large Databases Based on Recursive Instrumental Variables for System Identification of MISO Models. ECC 2019: 357-362 - [c31]Alexander Rehmer, Andreas Kroll:
On Using Gated Recurrent Units for Nonlinear System Identification. ECC 2019: 2504-2509 - [c30]Sebastian Schramm, Robert Schmoll, Andreas Kroll:
Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing Methods. ICST 2019: 1-6 - [c29]Felix Wittich, Matthias Kahl, Andreas Kroll, Wolfgang Zinn, Thomas Niendorf:
On Nonlinear Empirical Modeling of Residual Stress Profiles in Hard Turning. SMC 2019: 3255-3260 - 2018
- [j29]Hassan Enam Al Mawla, Andreas Kroll:
Multivariate statistical approaches for an early detection of foaming in a refinery SCOT unit. Autom. 66(8): 665-679 (2018) - [c28]David Arengas, Andreas Kroll:
Removal of Insufficiently Informative Data to Support System Identification in MISO Processes. ECC 2018: 2842-2847 - [c27]Johannes Rangel, Andreas Kroll:
On Obtaining Reliable Spatial Information from Gas Structures with a Stereo Camera System. ICST 2018: 1-6 - [c26]Soren Dierks, Andreas Kroll:
Experimental characterization of a Tuneable Diode Laser Absorption Spectroscopy based sensor. SAS 2018: 1-6 - [c25]Johannes Rangel, Andreas Kroll:
Characterization and calibration of a stereo gas camera system for obtaining spatial information of gas structures. SAS 2018: 1-6 - [c24]Sebastian Schramm, Johannes Rangel, Andreas Kroll:
Data fusion for 3D thermal imaging using depth and stereo camera for robust self-localization. SAS 2018: 1-6 - 2017
- [j28]Salman Zaidi, Andreas Kroll:
NOE TS fuzzy modelling of nonlinear dynamic systems with uncertainties using symbolic interval-valued data. Appl. Soft Comput. 57: 353-362 (2017) - [j27]Andreas Kroll, Axel Dürrbaum:
On optimal experiment design for identifying premise and conclusion parameters of Takagi-Sugeno models: Nonlinear regression case. Appl. Soft Comput. 60: 407-422 (2017) - [j26]Frank Hoffmann, Andreas Kroll, Ralf Mikut:
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. 65(3): 153 (2017) - [j25]Alexander Schrodt, Andreas Kroll:
On Iterative Closed-Loop Identification Using Affine Takagi-Sugeno Models and Controllers. Int. J. Fuzzy Syst. 19(6): 1978-1988 (2017) - [c23]David Arengas, Andreas Kroll:
Searching for informative intervals in predominantly stationary data records to support system identification. ICAT 2017: 1-6 - 2016
- [j24]Andreas Geiger, Andreas Kroll:
Erweiterung Komplexer Netzwerke zur dynamischen Modellierung und Analyse von großen, verkoppelten Systemen. Autom. 64(2): 110-120 (2016) - [j23]Alexander Schrodt, Andreas Kroll:
Zur regelungsorientierten Identifikation und driftkompensierenden Takagi-Sugeno-Fuzzy-Regelung. Autom. 64(4): 270-281 (2016) - [j22]Salman Zaidi, Andreas Kroll:
On interval-data based Type-1 Takagi-Sugeno fuzzy systems for uncertain nonlinear dynamic system identification. Autom. 64(6): 418-427 (2016) - [c22]Thomas Guenther, Andreas Kroll:
Automated detection of compressed air leaks using a scanning ultrasonic sensor system. SAS 2016: 1-6 - [c21]Axel Dürrbaum, Andreas Kroll:
On robust experiment design for identifying locally affine Takagi-Sugeno models. SMC 2016: 1844-1849 - [c20]Matthias Gringard, Andreas Kroll:
On the parametrization of APRBS and multisine test signals for the identification of nonlinear dynamic TS-models. SSCI 2016: 1-8 - [i1]Chun Liu, Andreas Kroll:
On the performance of different mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems. CoRR abs/1606.00601 (2016) - 2015
- [j21]Chun Liu, Andreas Kroll:
Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative tasks. Soft Comput. 19(3): 567-584 (2015) - [c19]Alexander Schrodt, Andreas Kroll:
Drift term compensating control for off-equilibrium operation of nonlinear systems with Takagi-Sugeno fuzzy models. ECC 2015: 392-397 - [c18]Antonio Ordonez Muller, Andreas Kroll:
On the temperature assignment problem and the use of confidence textures in the creation of 3D thermograms. ICST 2015: 223-228 - 2014
- [j20]Andreas Kroll, Horst Schulte:
Benchmark problems for nonlinear system identification and control using Soft Computing methods: Need and overview. Appl. Soft Comput. 25: 496-513 (2014) - [j19]Frank Hoffmann, Eyke Hüllermeier, Andreas Kroll:
Ausgewählte Beiträge des GMA-Fachausschusses 5.14 "Computational Intelligence". Autom. 62(10): 685-686 (2014) - [c17]Moritz Wagner, Andreas Kroll:
A method to identify hybrid systems with mixed piecewise affine or nonlinear models of Takagi-Sugeno type. ECC 2014: 394-399 - 2013
- [j18]Zhenxing Ren, Andreas Kroll, Manfried Sofsky:
Zur physikalischen und datengetriebenen Modellbildung von Systemen mit Reibung: Methoden und Anwendung auf Kfz-Drosselklappen. Autom. 61(3): 155-171 (2013) - [j17]Andreas Kroll:
Vom 47.Regelungstechnischen Kolloquium in Boppard. Autom. 61(5) (2013) - [c16]Andreas Geiger, Andreas Kroll:
Modeling and analyzing technical systems as complex networks: Detecting inverse response. CICA 2013: 89-96 - [c15]Andreas Geiger, Andreas Kroll, Hanns-Jakob Sommer:
In Need of Methods to Solve Imprecisely Posed Problems. ICINCO (1) 2013: 294-299 - [c14]Gero Bonow, Andreas Kroll:
Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max method. ICRA 2013: 987-992 - 2012
- [j16]Frank Hoffmann, Eyke Hüllermeier, Andreas Kroll:
Ausgewählte Beiträge des GMA-Fachausschusses 5.14 "Computational Intelligence". Autom. 60(10): 587-588 (2012) - [j15]Axel Dürrbaum, Andreas Kroll, Hanns-Jakob Sommer:
CI-Methoden zur Koordination und Entkoppelung komplexer Systeme. Autom. 60(10): 600-611 (2012) - [c13]Samuel Soldan, Jochen Welle, Thomas Barz, Andreas Kroll, Dirk Schulz:
Towards Autonomous Robotic Systems for Remote Gas Leak Detection and Localization in Industrial Environments. FSR 2012: 233-247 - [c12]Thomas Barz, Gero Bonow, Jens Hegenberg, Karim Habib, Liubov Cramar, Jochen Welle, Dirk Schulz, Andreas Kroll, Ludger Schmidt:
Unmanned Inspection of Large Industrial Environments - Insights into the Research Project RoboGasInspector. Future Security 2012: 216-219 - [c11]Chun Liu, Andreas Kroll:
On Designing Genetic Algorithms for Solving Small- and Medium-Scale Traveling Salesman Problems. ICAISC (SIDE-EC) 2012: 283-291 - [c10]Chun Liu, Andreas Kroll:
A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms. ICAISC (2) 2012: 466-474 - 2011
- [j14]Andreas Kroll:
Zur regelungsorientierten Ableitung von Takagi-Sugeno-Modellen. Autom. 59(12): 705-720 (2011) - [c9]Andreas Kroll, Axel Dürrbaum:
On control-specific derivation of affine Takagi-Sugeno models from physical models: Assessment criteria and modeling procedure. CICA 2011: 23-30 - 2010
- [c8]Patrick Gerland, Dominic Gross, Horst Schulte, Andreas Kroll:
Design of sliding mode observers for TS fuzzy systems with application to disturbance and actuator fault estimation. CDC 2010: 4373-4378 - [c7]Zhenxing Ren, Andreas Kroll, Manfried Sofsky, Friedhelm Laubenstein:
On methods for automated modeling of dynamic systems with friction and their application to electro-mechanical throttles. CDC 2010: 7637-7642 - [c6]Andreas Kroll, Samuel Soldan:
Survey results on status, needs and perspectives for using mobile service robots in industrial applications. ICARCV 2010: 621-626
2000 – 2009
- 2009
- [j13]Andreas Kroll, Ralf Mikut:
Computational Intelligence (Fortsetzung). Autom. 57(3): 105 (2009) - [c5]Patrick Gerland, Horst Schulte, Andreas Kroll:
Probability-based global state detection of complex technical systems and application to mobile working machines. ECC 2009: 1269-1274 - [c4]Andreas Kroll, Werner Baetz, Daniel Peretzki:
On autonomous detection of pressured air and gas leaks using passive IR-thermography for mobile robot application. ICRA 2009: 921-926 - [c3]Werner Baetz, Andreas Kroll, Gero Bonow:
Mobile robots with active IR-optical sensing for remote gas detection and source localization. ICRA 2009: 2773-2778 - 2008
- [j12]Andreas Kroll, Iiro Harjunkoski:
Produktionsoptimierung. Autom. 56(2): 61-63 (2008) - [j11]Andreas Kroll, Iiro Harjunkoski:
Produktionsoptimierung (Fortsetzung). Autom. 56(4): 169-170 (2008) - [j10]Andreas Kroll, Ralf Mikut:
Computational Intelligence (Computational Intelligence). Autom. 56(7): 335-338 (2008) - [j9]Adrian Prata, Jan Oldenburg, Andreas Kroll, Wolfgang Marquardt:
Integrated scheduling and dynamic optimization of grade transitions for a continuous polymerization reactor. Comput. Chem. Eng. 32(3): 463-476 (2008) - 2007
- [j8]Dirk Abel, Martin Buss, Andreas Kroll, Markus Reischl:
Gedanken zur Lehre. Autom. 55(5): 266-268 (2007) - 2006
- [j7]Andreas Kroll, Dirk Abel:
Modellbasierte Prädiktive Regelung (Model Predictive Control). Autom. 54(12): 587-589 (2006) - [j6]Rasmus H. Nyström, Iiro Harjunkoski, Andreas Kroll:
Production optimization for continuously operated processes with optimal operation and scheduling of multiple units. Comput. Chem. Eng. 30(3): 392-406 (2006) - 2005
- [j5]Andreas Kroll, Marina Nußko:
Zur computerbasierten Schulung von Anlagenfahrern in der Chemischen Industrie (On Computer-based Training of Operators in the Chemical Industries). Autom. 53(3): 125-139 (2005) - [j4]Rasmus H. Nyström, Rüdiger Franke, Iiro Harjunkoski, Andreas Kroll:
Production campaign planning including grade transition sequencing and dynamic optimization. Comput. Chem. Eng. 29(10): 2163-2179 (2005) - 2000
- [j3]Andreas Kroll, Thomas Bernd, Sandra Trott:
Fuzzy network model-based fuzzy state controller design. IEEE Trans. Fuzzy Syst. 8(5): 632-644 (2000)
1990 – 1999
- 1999
- [j2]Thomas Bernd, Markus Kleutges, Andreas Kroll:
Nonlinear Black Box Modelling - Fuzzy Networks versus Neural Networks. Neural Comput. Appl. 8(2): 151-162 (1999) - [c2]Andreas Kroll, Thomas Bernd:
From dynamic data to fuzzy state-space controllers: Methodology and applications. ECC 1999: 3563-3568 - 1997
- [b1]Andreas Kroll:
Fuzzy-Systeme zur Modellierung und Regelung komplexer technischer Systeme. University of Duisburg-Essen, VDI-Verlag 1997, ISBN 3-18-361208-9, pp. 1-135 - 1996
- [j1]Andreas Kroll:
Identification of functional fuzzy models using multidimensional reference fuzzy sets. Fuzzy Sets Syst. 80(2): 149-158 (1996) - [c1]Rolf Müller, Andreas Kroll, Jörg Piesch:
Echtzeit-Expertensystem-Shell mit Simulatorkopplung. PEARL 1996: 83-91
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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