Publikationen an der Fakultät für Informatik und Automatisierung ab 2015

Anzahl der Treffer: 1965
Erstellt: Thu, 18 Jul 2024 23:11:58 +0200 in 0.1080 sec


Cieza, Oscar B.; Reger, Johann
IDA-PBC for polynomial systems: an SOS-based approach. - In: IFAC-PapersOnLine, ISSN 2405-8963, Bd. 51 (2018), 13, S. 366-371

https://doi.org/10.1016/j.ifacol.2018.07.306
Hua, Changsheng; Ding, Steven X.; Shardt, Yuri A. W.
A new method for fault tolerant control through Q-learning. - In: IFAC-PapersOnLine, ISSN 2405-8963, Bd. 51 (2018), 24, S. 38-45

https://doi.org/10.1016/j.ifacol.2018.09.526
Barua, Ayushman; Kalwa, Jörg; Shardt, Yuri; Glotzbach, Thomas
Path planning for an identification mission of an Autonomous Underwater Vehicle in a lemniscate form. - In: IFAC-PapersOnLine, ISSN 2405-8963, Bd. 51 (2018), 29, S. 323-328

https://doi.org/10.1016/j.ifacol.2018.09.503
Shardt, Yuri A. W.; Mehrkanoon, Siamak; Zhang, Kai; Yang, Xu; Suykens, Johan; Ding, Steven X.; Peng, Kaixiang
Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines. - In: The Canadian journal of chemical engineering, ISSN 1939-019X, Bd. 96 (2018), 1, S. 171-178

The development and implementation of better control strategies to improve the overall performance of a plant is often hampered by the lack of available measurements of key quality variables. One way to resolve this problem is to develop a soft sensor that is capable of providing process information as often as necessary for control. One potential area for implementation is in a hot steel rolling mill, where the final strip thickness is the most important variable to consider. Difficulties with this approach include the fact that the data may not be available when needed or that different conditions (operating points) will produce different process conditions. In this paper, a soft sensor is developed for the hot steel rolling mill process using least-squares support vector machines and a properly designed bias update term. It is shown that the system can handle multiple different operating conditions (different strip thickness setpoints, and input conditions).



https://doi.org/10.1002/cjce.22956
Shardt, Yuri A. W.; Brooks, Kevin
Automated system identification in mineral processing industries: a case study using the zinc flotation cell. - In: IFAC-PapersOnLine, ISSN 2405-8963, Bd. 51 (2018), 18, S. 132-137

https://doi.org/10.1016/j.ifacol.2018.09.288
Li, Pengwei; Yang, Xu; Shardt, Yuri A. W.
Simultaneous robust, decoupled output feedback control for multivariate industrial systems. - In: IEEE access, ISSN 2169-3536, Bd. 6 (2018), S. 6777-6782

https://doi.org/10.1109/ACCESS.2018.2790803
He, Zhangming; Shardt, Yuri A. W.; Wang, Dayi; Hou, Bowen; Zhou, Haiyin; Wang, Jiongqi
An incipient fault detection approach via detrending and denoising. - In: Control engineering practice, ISSN 1873-6939, Bd. 74 (2018), S. 1-12

https://doi.org/10.1016/j.conengprac.2018.02.005
Ley, Sebastian; Fiser, Ondrej; Merunka, Ilja; Vrba, Jan; Sachs, Jürgen; Helbig, Marko
Preliminary investigations for reliable temperature dependent UWB dielectric spectroscopy of tissues and tissue mimicking phantom materials. - In: 12th European Conference on Antennas and Propagation (EuCAP 2018), ISBN 978-1-78561-816-1, (2018), insges. 5 S.

https://doi.org/10.1049/cp.2018.0789
Mitzenmacher, Michael; Panagiotou, Konstantinos; Walzer, Stefan
Load thresholds for cuckoo hashing with double hashing. - In: 16th Scandinavian Symposium and Workshops on Algorithm Theory, (2018), Seite 29:1-29:9

http://dx.doi.org/10.4230/LIPIcs.SWAT.2018.29
Walzer, Stefan;
Load thresholds for cuckoo hashing with overlapping blocks. - In: 45th International Colloquium on Automata, Languages, and Programming, (2018), Seite 102:1-102:10

http://dx.doi.org/10.4230/LIPIcs.ICALP.2018.102