DOI INFORMATION FOR 10.4173:


General information about the DOI system can be found here and here. A DOI name is a digital object identifier for any object of intellectual property. A DOI name provides a means of persistently identifying a piece of intellectual property on a digital network and associating it with related current data in a structured extensible way. DOI was accepted as an ISO standard in 2010.
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If you have ever tried to follow an URL in an article older than 5-10 years, more often than not you will find that the URL is no longer active. The DOI system is an attempt to overcome this deficiency by providing stable and permanent references for intellectual property on the web.

The MIC journal has implemented the DOI system for every single article published in MIC since the foundation year in 1980. The DOI prefix for MIC is 10.4173 and an individual article has been assigned a DOI on the following format: 10.4173/mic.year.no.paperno. For example, the first article published in MIC by Oddvar Hallingstad has the following DOI: 10.4173/mic.1980.1.1 and the following permanent URL http://dx.doi.org/10.4173/mic.1980.1.1. This permanent URL links back to the www.mic-journal.no website. If the MIC website is moved in the future, the DOI information will be updated to point to the new address.

Another advantage of the DOI system, is the possibility to register all the references in an article in a structured manner. All the references made in MIC articles starting from 1980 have been submitted into the DOI system. The effect is an increased visibility of MIC articles, which again will lead to a wider audience. MIC also participates in the 'cited-by' system, which can be seen for this article. 'cited-by' shows which other papers have included the actual paper in the reference lists.

The MIC class files for pdfLaTeX found in the Author Information have commands for embedding DOI information in the PDF files. Prospective authors for future MIC articles will receive the DOI identification when the article is accepted. Authors are encouraged to embed the tag into the PDF file themselves using pdflatex prior to publication. Authors are also encouraged to embed DOI tags in their reference lists.

Click on the links below to see the external DOI forward links to MIC:
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2020    

DOI Forward Links to MIC for Year: 2019

 Total number of MIC articles in 2019  16
 Total number of DOI citations  11
 Average citations per article   0.69 

2019, Vol. 40, No. 4:
1.Muhammad R. U. Islam and Shaoping Bai, “Payload estimation using forcemyography sensors for control of upper-body exoskeleton in load carrying assistance”, pp. 189-198
DOI forward links to this article:
[1] Muhammad Ahsan Gull, Shaoping Bai and Thomas Bak (2020), doi:10.3390/robotics9010016
2.Christer Dalen and David Di Ruscio, “Model-Free PI/PID Controller Tuning of Higher Order Nonlinear Dynamic Systems”, pp. 199-211
3.Ole Magnus Brastein, Bernt Lie, Carlos F. Pfeiffer and Nils-Olav Skeie, “Estimating uncertainty of model parameters obtained using numerical optimisation”, pp. 213-243
DOI forward links to this article:
[1] O.M. Brastein, A. Ghaderi, C.F. Pfeiffer and N.-O. Skeie (2020), doi:10.1016/j.enbuild.2020.110236
2019, Vol. 40, No. 3:
1.Liubomyr Vytvytskyi, Roshan Sharma and Bernt Lie, “Nonlinear observer for hydropower system”, pp. 133-142
2.Shadi Attar and Finn Haugen, “Dynamic model adaptation to an anaerobic digestion reactor of a water resource recovery facility”, pp. 143-160
3.Ana Ionesi, M. Hossein Ramezani and Jerome Jouffroy, “On-line parameter and state estimation of an air handling unit model: experimental results using the modulating function method”, pp. 161-176
4.Bjørn-Olav H. Eriksen and Morten Breivik, “Short-term ASV Collision Avoidance with Static and Moving Obstacles”, pp. 177-187
DOI forward links to this article:
[1] Bjørn Olav H. Eriksen, Morten Breivik, Erik F. Wilthil, Andreas L. Flåten and Edmund F. Brekke (2019), doi:10.1002/rob.21900
[2] Bjørn-Olav H. Eriksen, Glenn Bitar, Morten Breivik and Anastasios M. Lekkas (2020), doi:10.3389/frobt.2020.00011
2019, Vol. 40, No. 2:
1.Niels C. Bender, Torben Ole Andersen and Henrik C. Pedersen, “Feasibility of Deep Neural Network Surrogate Models in Fluid Dynamics”, pp. 71-87
DOI forward links to this article:
[1] Jie Ren and Shi-Jie Cao (2020), doi:10.1016/j.buildenv.2020.106671
2.Daniel Hagen, Damiano Padovani and Martin Choux, “Enabling Energy Savings in Offshore Mechatronic Systems by using Self-Contained Cylinders”, pp. 89-108
DOI forward links to this article:
[1] Daniel Hagen, Damiano Padovani and Martin Choux (2019), doi:10.3390/act8040079
[2] Daniel Hagen, Damiano Padovani and Martin Choux (2019), doi:10.3390/act8040078
3.Alexander Meyer Sjøberg and Olav Egeland, “An EKF for Lie Groups with Application to Crane Load Dynamics”, pp. 109-124
4.Ioannis Manganas, Torben Ole Andersen, Per Johansen and Lasse Schmidt, “Challenges in application of hybrid switched control to digital hydraulic motors”, pp. 125-132
2019, Vol. 40, No. 1:
1.Reggie Davidrajuh, Damian Krenczyk and Bozena Skolud, “Finding Clusters in Petri Nets. An approach based on GPenSIM”, pp. 1-10
2.Jan Fredrik Røsjordet and Geir Hovland, “Methods for Experimentally Determining Stiffness of a Multi-Axis Machining Centre”, pp. 11-25
3.Pekko Jaatinen, Jouni Vuojolainen, Niko Nevaranta, Rafal Jastrzebski and Olli Pyrhönen, “Control System Commissioning of Fully Levitated Bearingless Machine”, pp. 27-39
DOI forward links to this article:
[1] Pekko Jaatinen, Niko Nevaranta, Jouni Vuojolainen, Rafal Jastrzebski and Olli Pyrhonen (2019), doi:10.1109/IEMDC.2019.8785262
[2] Niko Nevaranta, Jouni Vuojolainen, Teemu Sillanpää and Olli Pyrhönen (2019), doi:10.1088/1757-899X/643/1/012146
[3] Niko Nevaranta, Pekko Jaatinen, Jouni Vuojolainen, Teemu Sillanpää and Olli Pyrhönen (2020), doi:10.1016/j.mechatronics.2019.102313
4.Vojtech Vesely, Adrian Ilka, Ladislav Korosi and Martin Ernek, “Master-slave H-Infinity robust controller design for synchronization of chaotic systems”, pp. 41-50
DOI forward links to this article:
[1] Vojtech Vesely and Ladislav Korosi (2019), doi:10.1109/ACCS-PEIT48329.2019.9062893
5.Rolf ErgonQuantitative genetics state-space modeling of phenotypic plasticity and evolution”, pp. 51-69