INSTITUTE OF AUTOMATION

Monographies, Journals, Patents

Cepeda-Gomez, R.:

Finding the Exact Delay Bound for Consensus of Linear Multi-Agent Systems. International Journal of Systems Science, 2015, doi: 10.1080/00207721.2015.1005194, in press


Cepeda-Gomez, R.; Michiels, W.:

Some Special Cases in the Stability Analysis of Multi-Dimensional Time-Delay Systems Using The Matrix Lambert W Function. Automatica, 53, pp. 339-345, 2015, doi: 10.1016/j.automatica.2015.01.016


Cepeda-Gomez, R.; Perico, L. F.:

Formation Control of Non-holonomic Vehicles under Time Delayed Communications. IEEE Transactions on Automation Science and Engineering, 12 (3), pp. 819-826, 2015, doi: 10.1109/TASE.2015.2424252


Gallert, C.; Vorberg, E.; Roddelkopf, T.; Junginger, S.; Fleischer, H.; Thurow, K.:

Evaluation of an Automated Solid-Phase Extraction Method using Positive Pressure. American Laboratory, 47 (2), pp. 28-33, 2015, ISSN: 00447749


Gallert, C.; Vorberg, E.; Roddelkopf, T.; Junginger, S.; Fleischer, H.; Thurow, K.:

Evaluation of an Automated Solid-Phase Extraction Method using Positive Pressure. American Pharmaceutical Review, 18 (3), 2015, ISSN: 10998012


Göde, B.; Holzmüller-Laue, S.; Thurow, K.:

New Approach of Standard-Based End-to-End Process Automation in the Life Science Automation. Chemie-Ingenieur-Technik, 87 (5), pp. 518-536, 2015, doi: 10.1002/cite.201400032


Kumar, M.; Insaan, A.; Stoll, N.; Thurow, K.; Stoll, R.:

Stochastic Fuzzy Modeling for Ear Imaging Based Child Identification. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2015, in press


Kumar, M.; Stoll, N.; Stoll, R.; Thurow, K.:

A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part I. IEEE Transactions on Cybernetics, 2015, in press


Kumar, M.; Stoll, N.; Stoll, R.; Thurow, K.:

A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part II. IEEE Transactions on Cybernetics, 45 (3), pp. 486-496, 2015, doi: 10.1109/TCYB.2014.2329192


Kumar, M.; Stoll, N.; Thurow, K.:

Electronic Health Signal Processing. In: Eren, H. & Webster, J. G. (Ed.): Telemedicine and Electronic Medicine. CRC Press 2015, in press


Kumar, M.; Stoll, N.; Thurow, K.; Stoll, R.:

Fuzzy Memberships Descriptors for Images. IEEE Transactions on Fuzzy Systems, 2015, in press


Lampe, B.; Rosenwasser, E.:

L2-Optimisation and Fixed Poles of Multivariable Sampled-Data Systems with Delay. International Journal of Control, 88 (4), pp. 815-831, 2015, doi: 10.1080/00207179.2014.979232


Lehmann, R.; Gallert, C.; Roddelkopf, T.; Junginger, S.; Jonitz-Heincke, A.; Wree, A.; Thurow, K.:

Manually and Automatically Produced Pellet Cultures of Human Primary Chondrocytes: A Comparative Analysis. Journal of Engineering in Life Science, 2015, in press


Lehmann, R.; Gallert, C.; Roddelkopf, T.; Junginger, S.; Wree, A.; Thurow, K.:

3 Dimensional Cell Cultures: A Comparison Between Manually and Automatically Produced Alginate Beads, Cytotechnology, 2015, doi: 10.1007/s10616-015-9861-1, 2015, in press


Lehmann, R.; Severitt, J.; Roddelkopf, T.; Junginger, S.; Thurow, K.:

Biomek® Cell Workstation: A variable System for Automated 3 D Cell Cultivation. Journal of Laboratory Automation, 2015, doi: 10.1177/2211068215599786


Lehmann, R.; Severitt, J.; Roddelkopf, T.; Junginger, S.; Thurow, K.:

Biomek® Cell Workstation: A flexible System for Automated 3 D Cell Cultivation. Journal of Laboratory Automation, 2015, doi: 10.1177/2211068215594580


Liu, H.; Tian, H.; Li, Y.:

Comparison of New Hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for Wind Speed Predictions. Energy Conversion and Management, vol. 89, pp. 1–11, 2015, doi:10.1016/j.enconman.2014.09.060


Liu, H.; Tian, H.; Li, Y.:

Four Wind Speed Multi-Step Forecasting Models using Extreme Learning Machines and Signal Decomposing Algorithms. Energy Conversion and Management, vol. 100, pp. 16–22, 2015, doi:10.1016/j.enconman.2015.04.057


Liu, H.; Tian, H.; Li, Y.:

An EMD-Recursive ARIMA Method to Predict Wind Speed for Railway Strong Wind Warning System. Journal of Wind Engineering and Industrial Aerodynamics, vol. 141, pp. 27–38, 2015, doi:10.1016/j.jweia.2015.02.004


Liu, H.; Tian, H.; Li, Y:

Comparison of four Adaboost Algorithm Based Artificial neural Networks in Wind Speed Predictions. Energy Conversion and Management, vol. 92, pp. 67–81, 2015, doi:10.1016/j.enconman.2014.12.053


Liu, H.; Tian, H.; Liang, X.; Li, Y.:

New Wind Speed Forecasting Approaches Using Fast Ensemble Empirical Model Decomposition, Genetic Algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks. Renewable Energy, vol. 83, pp. 1066–1075, 2015, doi:10.1016/j.renene.2015.06.004


Schori, M.; Boehme, T. J.; Frank, B.; Lampe, B. P.:

Optimal Calibration of Map-Based Energy Management for Plug-In Parallel Hybrid Configurations: A Hybrid Optimal Control Approach, IEEE Transactions on Vehicular Technology, 64, (9), pp. 3897-3907, 2015


Shanazi, R.; Haghani, A.; Jeinsch, T.:

Adaptive Fuzzy Observer-Based Stabilization of a Class of Uncertain Time-Delayed Chaotic Systems with Actuator Nonlinearities. Chaos, Solitons and Fractals, Volume 76, pp. 98-110, 2015, doi: 10.1016/j.chaos.2015.03.006


Thurow, K.; Liu, H.:

Mobile Robotics in Life Science Applications. In: Mobile Robotics: Principles, Applications (Ed.), pp. 1-24, 2015, ISBN: 978-1-63482-641-9


Vorberg, E.; Fleischer, E., Junginger, S.; Thurow, K.:

Automated Sample Preparation for Mercury Analysis in Wood Materials. IET Science Measurement Technology, 2015, in press


Vorberg, E.; Fleischer, H.; Jungunger, S.; Liu, H.; Stoll, N.; Thurow, K.:

A Highly Flexible, Automated System Providing Reliable Sample Preparation in Element- and Structure-Specific Measurements. Journal of Laboratory Automation, pp. 1-11, 2015, doi: 10.1177/2211068215595946


IAT institute of automation
Richard - Wagner - Str. 31 / H.8
D-18119 Rostock

Director:
Prof. Dr.-Ing. habil. Kerstin Thurow


Tel.: +49 (0) 381/498-7700
Fax: +49 (0) 381/498-7702

email: kerstin.thurow@uni-rostock.de
www: www.iat.uni-rostock.de

© IAT 2001 - 2013 | An Institute at the College of Computer Science and Electrical Engineering of the University of Rostock (Mecklenburg / Vorpommern - Germany).