@article{Dierks2016a,
  author = {Dierks, Sören and Retz, Stefanie and Klaus, Dominik and Supply, Carsten and Hensel, Oliver and Kroll, Andreas},
  interhash = {3bff270b0df3cd47d808d1ece152c8d8},
  intrahash = {ff41350b24232839d74f92a02bbce0ff},
  journal = {gwf -- Gas + Energie},
  language = {german},
  mrtnote = {BioGas,nopeer},
  number = 9,
  owner = {dierks},
  pages = {690-695},
  title = {Schwachstellenanalyse und fernmesstechnische Ermittlung von Methanemission aus Biogasanlagen},
  url = {https://www.di-verlag.de/de/GWF-Gas-Energie},
  volume = 157,
  year = 2016
}

@article{kroll2006b,
  author = {Kroll, Andreas},
  interhash = {7bf0e852d4a8c8ae1a8a5f47ea2a8494},
  intrahash = {b911636335fb1bc83ae5843828cfa44f},
  journal = {Automatisierungstechnische Praxis},
  language = {english},
  month = May,
  mrtnote = {peer},
  number = 5,
  owner = {liebermann},
  pages = {71-78},
  title = {Computer-based training "control performance monitoring" for personnel of process plants},
  volume = 48,
  year = 2006
}

@inproceedings{RehmerECC2019,
  abstract = {This paper is concerned with the test signal design for the identification of the partition parameters of locally affine Takagi-Sugeno-(TS-)Models. The basic idea is that data should be generated in local model transition areas in the scheduling space. A reference system output that represents the desired path in the scheduling space is forced upon the underlying system through a combination of a feed-forward and feedback control scheme. The system is then identified in an iterative closed-loop identification procedure. This method has been applied to an artificial system to demonstrate its potential.},
  address = {Naples, Italy},
  author = {Rehmer, Alexander and Kroll, Andreas},
  booktitle = {Preprints of the 18th European Control Conference (ECC)},
  interhash = {4bee8ec8c5ca00426c0a434506352cfb},
  intrahash = {caa85f0975dfe7174d72c95f30ef352f},
  month = {25.-28. Juni},
  mrtnote = {peer},
  organization = {IFAC},
  owner = {rehmer},
  pages = {2504-2509},
  title = {On Using Gated Recurrent Units for Nonlinear System Identification},
  url = {https://www.ifac-control.org/events/european-control-conference-in-cooperation-with-ifac-ecc-2019},
  year = 2019
}

@inproceedings{ICAISC2012,
  address = {Zakopane, Poland},
  author = {Liu, Chun and Kroll, Andreas},
  booktitle = {11th International Conference on Artificial Intelligence and Soft Computing, ICAISA 2012},
  doi = {http://dx.doi.org/10.1007/978-3-642-29350-4_56},
  editor = {Rutkowski, L. et al},
  file = {ICAISC2012:M\:\\Bibliothek\\MRT\\Publikationen\\ICAISC2012\\A                  Centralized Multi-Robot Task Allocation for                  Industrial Plant Inspection by Using A and Genetic                  Algorithms.pdf:PDF},
  interhash = {bf67f0259c15b72797a6ce24610b8051},
  intrahash = {2956b5e69d0d4ffe45ac561352272be9},
  language = {english},
  month = {April 29 - May 3},
  mrtnote = {MultiRobot,peer},
  pages = {466-474},
  series = {LNCS 7268},
  title = {A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms},
  year = 2012
}

@inproceedings{Zaidi-GMA-2012,
  address = {Dortmund},
  author = {Zaidi, Salman and Kroll, Andreas and Sommer, Hanns-Jakob},
  booktitle = {22. Workshop Computational Intelligence},
  editor = {Hoffmann, Frank and Hüllermeier, Eike},
  interhash = {48a4b7ac22293bb8c28ae53129cdf964},
  intrahash = {906352ff7c34e976aebc884379801719},
  language = {english},
  month = {6-7. Dezember},
  mrtnote = {nopeer,FuzzyT2,pke},
  organization = {GMA-FA 5.14},
  owner = {duerrbaum},
  pages = {179-199},
  publisher = {KIT Scientific Publishing},
  title = {On Description and Identification of Uncertainties in System Modeling with Fuzzy Logic},
  url = {http://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html},
  year = 2012
}

@article{KrollEngineerIT2007,
  author = {Kroll, A. and Simon, G. and Cheever, T. and Pilbacka, T. and Stanier, D.},
  interhash = {528e2ede7e39c72758c1e6f61a42b9fb},
  intrahash = {1a1a2dcefc94d90f4fb948904e7a93b2},
  journal = {EngineerIT},
  language = {english},
  month = {October},
  mrtnote = {nopeer},
  owner = {duerrbaum},
  pages = {28-32},
  title = {Room for Improvement},
  url = {http://www.eepublishers.co.za/view.php?sid=10863},
  volume = 32,
  year = 2007
}

@inproceedings{Geiger2014a,
  address = {Magdeburg},
  author = {Geiger, Andreas and Kroll, Andreas},
  booktitle = {EKA 2014 Entwurf komplexer Automatisierungssysteme},
  interhash = {48b6740102515d9716e57342b704a3b0},
  intrahash = {cc3af3254302f82a889bc7d3164c5ebd},
  language = {deutsch},
  month = {14.-15. Mai},
  mrtnote = {Netze, peer,pke},
  owner = {geiger},
  title = {Komplexe Netzwerke zur Modellierung und Analyse von Anlagen: Qualitative Detektion des Inverse-Response-Verhaltens von Systemen höherer Ordnung},
  year = 2014
}

@inproceedings{Kroll2010GMAb,
  address = {Dortmund},
  author = {Kroll, Andreas and Dürrbaum, Axel},
  booktitle = {20. Workshop Computational Intelligence},
  editor = {Hoffmann, Frank and Hüllermeier, Eike},
  interhash = {4462165eb976383c8da40eeb092d66e8},
  intrahash = {f83f87613c0baa03d8ecb89c231331d4},
  language = {german},
  month = {1.-3. Dezember},
  mrtnote = {FuzzyIdControl,nopeer},
  owner = {liebermann},
  pages = {161 -- 174},
  series = {Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik},
  title = {Zur regelungsspezifischen Ableitung dynamischer Tagaki-Sugeno-Modelle aus rigorosen Modellen},
  year = 2010
}

@inproceedings{RehmerIFAC2017,
  abstract = {Multivariate Statistical Process Control (MSPC) techniques such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) have found wide application especially in the statistical modeling and monitoring of chemical processes. However, real industrial processes often violate the assumptions underlying MSPC since they exhibit timevarying and non-stationary behavior. Adaptive PCA-based monitoring procedures such as Moving Window PCA (MWPCA) and Recursive PCA (RPCA) have been proposed to tackle this issue. Although the parameter selection for those procedures is critical to their proper implementation, this topic is rarely covered in the literature. This paper examines two methods for MWPCA and RPCA parameter selection using the Tennessee Eastman process as an example. Based on the findings a novel procedure for RPCA parameter selection as well as a extension to RPCA will be proposed and demonstrated.},
  author = {Rehmer, Alexander and Kroll, Andreas},
  booktitle = {Proceedings of the 20th IFAC World Congress},
  interhash = {558622cc877a3643bbee4fd70764be68},
  intrahash = {cdd80201e5fda51d8d1ece2280eccddc},
  mrtnote = {FEE,peer},
  organization = {IFAC},
  owner = {rehmer},
  pages = {15329-15334},
  title = {An extension to RPCA parameter selection and process monitoring},
  year = 2017
}

@inproceedings{GuentherSAS2016,
  address = {Catania, Italy},
  author = {Guenther, Thomas and Kroll, Andreas},
  booktitle = {IEEE Sensors Applications Symposium (SAS)},
  doi = {10.1109/SAS.2016.7479830},
  interhash = {45d964d21930c219f585b4919f4b1e93},
  intrahash = {243edcb711964640656e94075fc41097},
  language = {english},
  month = {20.-22. April},
  mrtnote = {robotair, peer},
  owner = {guenther},
  pages = {116 -- 121},
  title = {Automated Detection of Compressed Air Leaks Using a Scanning Ultrasonic Sensor System},
  year = 2016
}

@inproceedings{Zaidi-IFAC-2014,
  abstract = {In modeling of a stochastic nonlinear dynamic system from input-output data, it may be of interest to model uncertainty in the underlying system besides predicting a most likely or average response of the system. Due to stochasticity in the system behavior, the data obtained for identification can be considered as one realization of the underlying stochastic phenomenon. In order to effectively deal with the identification of such systems, it may be advantageous to repeat the identification experiment multiple times under similar conditions. The multiple input-output time series generated in this way thus contain information about stochastic variations within the system. This paper presents one of the possible approaches to effectively deal with identification in such scenario in the framework of Nonlinear Output Error (NOE) Takagi-Sugeno (TS) fuzzy models. Based on extended Chebyshev's inequality for finite samples, the lower and upper boundaries of the output time-series are obtained using (1-$\alpha$) confidence interval (envelops of the response). The proposed identification algorithm provides a model for predicting the most likely value as well as the boundary models for predicting the envelops of the output signal. The experimental results for an electro-mechanical throttle shows the applicability and validity of the proposed approach.},
  address = {Cape Town, South Africa},
  author = {Zaidi, Salman and Kroll, Andreas},
  booktitle = {19th IFAC World Congress},
  doi = {doi:10.3182/20140824-6-ZA-1003.01443},
  interhash = {5950b2dbce1ee617a4c41b0e1bdbe3d9},
  intrahash = {7a1641f201b6e94042940daed2f19f87},
  language = {english},
  month = {24-29. August},
  mrtnote = {peer,FuzzyT2},
  pages = {3226-3231},
  title = {On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties},
  year = 2014
}

@article{SOCO2014,
  author = {Liu, Chun and Kroll, Andreas},
  doi = {10.1007/s00500-014-1274-0},
  interhash = {d5b85c6269dfbb10625fbf83bd1d1f25},
  intrahash = {ca7eaceb3b774f4a86bfba71ddeaff70},
  journal = {Soft Computing},
  language = {english},
  mrtnote = {MultiRobot,peer},
  note = {Online First},
  number = 3,
  pages = {567-584},
  title = {Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative tasks},
  url = {http://link.springer.com/article/10.1007/s00500-014-1274-0},
  volume = 19,
  year = 2015
}

@inproceedings{2014-QIRT_JR,
  address = {Bordeaux, France},
  author = {Rangel González, Johannes Havid and Soldan, Samuel and Kroll, Andreas},
  booktitle = {12th International Conference for Quantitative InfraRed Thermography (QIRT 2014)},
  interhash = {0e658adbe6818e7e610ec1b71cb5ccdf},
  intrahash = {3744fab5ab490b8a1d3ecac4d1fa4f42},
  month = {7 -- 11 July},
  mrtnote = {robotair, thermofusion,peer,pke},
  owner = {soldan},
  title = {3D Thermal Imaging: Fusion of Thermography and Depth Cameras},
  url = {http://qirt2014.scientific-event.com/},
  year = 2014
}

@inproceedings{GringardSSCI2016,
  address = {Athens, Greece},
  author = {Gringard, Matthias and Kroll, Andreas},
  booktitle = {IEEE Symposium Series of Computational Intelligence 2016},
  interhash = {e23ccb61c71bc9942697ff3c21bc98d4},
  intrahash = {651de8f9a79dde424e050c92f053baf0},
  month = {06.-09. December},
  mrtnote = {peer,OED},
  organization = {IEEE},
  owner = {gringard},
  pages = {39 -- 60},
  title = {On the parametrization of APRBS and multisine test signals for the identification of nonlinear dynamic TS-models},
  url = {http://ssci2016.cs.surrey.ac.uk/IEEE%202016.htm},
  year = 2016
}

@inproceedings{Geiger2013,
  address = {Singapore},
  author = {Geiger, Andreas and Kroll, Andreas},
  booktitle = {CICA 2013 IEEE Symposium on Computational Intelligence in Control and Automation},
  interhash = {af04014be7965aeb40d8adc7a5af4fda},
  intrahash = {67467454a03b069caad383ea06d0c12a},
  language = {english},
  month = {15.-19. April},
  mrtnote = {Netze, peer},
  organization = {IEEE Symposium Series on Computational Intelligence 2013},
  owner = {duerrbaum},
  title = {Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse Response},
  year = 2013
}

@article{Zaidi-AT-2016,
  author = {Zaidi, Salman and Kroll, Andreas},
  interhash = {00665a7f51db6b09db1441a549df88c0},
  intrahash = {6816350a2f8c8bb59ff1b90833565bc0},
  journal = {at -- Automatisierungstechnik},
  mrtnote = {FuzzyT2,peer},
  number = 6,
  owner = {salman},
  pages = {418 -- 427},
  title = {On Interval-valued-data Type-1 Takagi-Sugeno fuzzy systems for uncertain nonlinear dynamic system identification},
  url = {http://www.degruyter.com/view/j/auto},
  volume = 64,
  year = 2016
}

@article{EAAI2016,
  abstract = {Multi-robot task allocation determines the task sequence and distribution for a group of robots in multi-robot systems, which is one of constrained combinatorial optimization problems and more complex in case of cooperative tasks because they introduce additional spatial and temporal constraints. To solve multi-robot task allocation problems with cooperative tasks efficiently, a subpopulation-based genetic algorithm, a crossover-free genetic algorithm employing mutation operators and elitism selection in each subpopulation, is developed in this paper. Moreover, the impact of mutation operators (swap, insertion, inversion, displacement, and their various combinations) is analyzed when solving several industrial plant inspection problems. The experimental results show that: (1) the proposed genetic algorithm can obtain better solutions than the tested binary tournament genetic algorithm with partially mapped crossover; (2) inversion mutation performs better than other tested mutation operators when solving problems without cooperative tasks, and the swap-inversion combination performs better than other tested mutation operators/combinations when solving problems with cooperative tasks. As it is difficult to produce all desired effects with a single mutation operator, using multiple mutation operators (including both inversion and swap) is suggested when solving similar combinatorial optimization problems.},
  author = {Liu, Chun and Kroll, Andreas},
  doi = {10.1186/s40064-016-3027-2},
  eid = {PMC4990531},
  interhash = {5cccb251b93eb5fa8a9b854184c579dd},
  intrahash = {1d8f4149f6dc951166c92f359173761e},
  journal = {SpringerPlus Engineering},
  language = {english},
  month = {August},
  mrtnote = {peer},
  number = 1,
  owner = {duerrbaum},
  title = {Performance impact of mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems},
  url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990531/},
  volume = 15,
  year = 2016
}

@inproceedings{sensor+test2012,
  abstract = {Eine regelmäßige und sorgfältige Inspektion von druckführenden Komponenten in Industrieanlagen (z. B. Mineralölraffinerien oder Chemieanlagen) ermöglicht ein frühzeitiges Erkennen von möglichen Störungen und Defekten und gewährleistet dadurch eine Betriebssicherheit auf hohem Niveau. Routineinspektionen werden oft nur mit einfachen lokal messenden Gasmessgeräten durchgeführt und sind durch wechselnde Inspekteure und Schichtarbeit personen- und tagesformabhängig. Dabei ist die Inspektionstätigkeit zumeist monoton und ermüdend. Die hohen Anschaffungskosten, die notwendige umfangreiche Einarbeitung in die Bedienung, die niedrige Auslastung bei manueller Verwendung sowie das schwer quantifizierbare Einsparungspotential schrecken oft von der Beschaffung von Fernmessgeräten ab. Ziel des Projektes RoboGasInspector ist die Entwicklung eines mobilen, mit infrarotoptischer Fernmesstechnik ausgestatteten professionellen Service-Roboters für die Routineinspektion von Industrieanlagen. Durch den Einsatz auf einem Roboter kann die Messtechnik voll ausgelastet werden, da dieser rund um die Uhr im Betrieb sein kann. Der Mensch wird von eintöniger Arbeit entlastet und das Fachpersonal steht für anspruchsvollere Aufgaben zur Verfügung. Die Reproduzierbarkeit der Ergebnisse wird verbessert und lässt zudem eine präzisere Differentialdiagnose mit historischen Daten zu; dadurch kann auch der Schädigungsverlauf dokumentiert werden. Durch die Verwendung von Messgeräten mit verschiedenen Messprinzipien kann eine Leckhypothese abgesichert und die Wahrscheinlichkeit von Falschalarmen reduziert werden. Die Interoperabilität der verschiedenen Messgeräte und deren modularer, mechanischer und elektrischer, spritzwassergeschützter Aufbau auf einer mobilen Roboterplattform wird in diesem Beitrag diskutiert und mit praktischen Erfahrungen zur Leistungsfähigkeit des Systems abgerundet. Dazu wurde ein modulares Messsystem entworfen, prototypisch realisiert und im Labor getestet. Das System verfügt über eigene Rechenkapazität und fasst die unterschiedlichen Schnittstellen sowie die Messdatenerfassung der Messgeräte zusammen. Dies vereinfacht somit die Verwendung des Systems auf verschiedenen Roboterplattformen.},
  address = {Nürnberg, Germany},
  author = {Soldan, Samuel and Bonow, Gero and Kroll, Andreas},
  booktitle = {16. GMA/ITG Fachtagung Sensoren und Messsysteme 2012},
  doi = {DOI 10.5162/sensoren2012/1.4.2},
  editor = {Gerlach, G. and Tutsch, R.},
  file = {Tagungsband:M\:\\Bibliothek\\Extern\\Konferenzen\\Sensoren-und-Messsysteme_2012\\Sensoren-und-Messsysteme-2012_Tagungsband.pdf:PDF;Abstract:M\:\\Bibliothek\\MRT\\Publikationen\\Sensoren                  und Messsysteme                  2012\\Kurzfassung\\Soldan_Uni-Kassel_Beitrag_Sensoren-und-Messsysteme-2012.pdf:PDF},
  interhash = {2353f26c7ef5742d80946dea0f70b53b},
  intrahash = {180a8ec0f0953d11264021783532c8de},
  isbn = {978-3-9813484-0-8},
  month = {22. -- 23.05.},
  mrtnote = {robogas, thermofusion, nopeer,pke},
  owner = {soldan},
  pages = {126-135},
  publisher = {AMA Service GmbH},
  title = {Auswahl und Aufbau eines Multisensor-Fernmesssystems zur Fluidleckerkennung für den Einsatz auf einem mobilen Industrie-Inspektionsroboter},
  url = {http://www.sensoren2012.de/},
  year = 2012
}

@inproceedings{GringardIFAC2020,
  abstract = {In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows for a separation of the design. The presented optimal design is based on the Fisher Information Matrix (FIM) and its objective is to minimize the parameter estimation uncertainty. In this contribution parameters of a standard test signal type (multi-step) are optimized to achieve this objective. The effectivity of FIM-based designs for nonlinear models depends on initial identification including structural decisions. The general functionality of the presented method is demonstrated on a case study.},
  address = {Berlin, Germany},
  author = {Gringard, Matthias and Kroll, Andreas},
  booktitle = {21st IFAC World Congress},
  interhash = {110cb42cf0c2959c294fcc9c2f0c2a02},
  intrahash = {52685379c7dd4eee3457ca7fabc09d7b},
  language = {english},
  month = {12-17. July},
  mrtnote = {peer,OED},
  number = 2,
  organization = {IFAC},
  owner = {gringard},
  pages = {1200-1205},
  publisher = {Elsevier},
  title = {On considering the output in space-filling test signal designs for the identification of dynamic {T}akagi-{S}ugeno models},
  url = {https://www.ifac2020.org/},
  volume = 53,
  year = 2020
}

@article{Zaidi-ASC-2016,
  abstract = {An approach to Nonlinear Output Error (NOE) modelling using Takagi -- Sugeno (TS) fuzzy model for a class of nonlinear dynamic systems having variability in their outputs is presented. Furthermore, the approach is compared and graphically illustrated with other alternate approaches on the basis of interval data and interval membership functions. Assuming the identification method can be repeated offline a number of times under similar conditions, multiple input -- output time series can be obtained from the underlying system. These time series are pre-processed using the techniques of statistics and probability theory to generate the envelopes of response (curves outlining the upper and lower extremes of response) at each time instant. Two types of envelopes are described in this research: the max -- min envelopes and the envelopes based on the confidence intervals provided by extended Chebyshev's inequality. By incorporating interval data in fuzzy modelling and using the theory of symbolic interval-valued data, a TS fuzzy model with interval antecedent and consequent parameters is obtained. This algorithm provides a model for predicting the expected response as well as envelopes. In order to validate the presented model, a simulation case study is devised in this paper. Moreover, it is demonstrated on the real data obtained from an electro-mechanical throttle valve.},
  author = {Zaidi, Salman and Kroll, Andreas},
  doi = {http://dx.doi.org/10.1016/j.asoc.2017.04.004},
  interhash = {f02e37907869439cfb12a9ce22d45d4f},
  intrahash = {e2c33334117be96019a7d268426b5ada},
  journal = {Applied Soft Computing},
  language = {english},
  mrtnote = {FuzzyT2,peer},
  mrturla = {http://141.51.48.24/MRT/Bibliothek/Publikationen/2017-Zaidi-ASC-NOE_TS.pdf},
  owner = {salman},
  pages = {353-362},
  title = {{NOE} {TS} Fuzzy Modelling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-valued data},
  url = {http://www.sciencedirect.com/science/article/pii/S1568494617301758},
  volume = 57,
  year = 2017
}