A Nordic Open Access Research Journal

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The aim of MIC is to present Nordic research activities in the field of modeling, identification and control to the international scientific community. Historically, the articles published in MIC presented the results of research carried out in Norway, or sponsored primarily by a Norwegian institution. Since 2009 the journal also accepts papers from the other Nordic countries. See also this flyer.

Since February 2009 recent issues of MIC are available in print but the entire collection of articles is also available on this website for download at no charge. In the period July 2006 to February 2009 the journal existed in electronic format by subscription and before 2006 only in paper format (ISSN: 0332-7353). The journal was founded in 1980 by Professor Jens G. Balchen at the Department of Engineering Cybernetics, NTNU.

Why Publish in MIC? MIC strives to only publish articles of high academic quality. Each article published in MIC has been refereed by at least two internationally recognised specialists within the field. MIC articles are available for free download on the Internet, and the published articles are guaranteed the widest possible audience. MIC strives to complete timely reviews of submitted articles. MIC participates in DOI to achieve permanent and stable web references. The MIC journal is ranked as publication level 1 in Norway.

Non-profit Journal: MIC is operated as a non-profit, open access journal and is entirely based on voluntary contributions from the editors and reviewers. MIC does not charge a publication fee. This policy is only possible by limiting the number of articles submitted for review. MIC achieves this by having geograpical profile, see the 'For Authors' page.

Review: Each submitted article will initially be reviewed by the editor and/or the editorial secretary. If the article passes the initial review, it will be reviewed in a second step by the closest discipline editor and two internationally recognised experts in the field. All reviews in MIC are anonymous and the journal strives to avoid any conflict of interest in the review process.

Latest editorial: Vol. 38, No. 2

Most Recent MIC Articles:
Vol. 44, No. 1:
1.Mohamed Yousri, Georg Jacobs and Stephan Neumann, “Effect of Electrification on the Quantitative Reliability of an Offshore Crane Winch in Terms of Drive-Induced Torque Ripples”, pp. 1-16
2.Kushila Jayamanne and Bernt Lie, “HMC Techniques for Reducing the Uncertainty of Gas-Lifted Oil Field Model”, pp. 17-29
3.Ioannis Manganas, Lasse Schmidt, Torben Ole Andersen and Henrik C. Pedersen, “Backstepping based controller utilizing a sliding mode disturbance observer”, pp. 31-42
Vol. 43, No. 4:
1.David Di Ruscio and Christer Dalen, “On subspace system identification methods”, pp. 119-130
2.Rolf Ergon, “A BLUP derivation of the multivariate breeder's equation, with an elucidation of errors in BLUP variance estimates, and a prediction method for inbred populations”, pp. 131-140
3.Stig Kvaal, Per Østby and Morten Breivik, “DP and the Art of Perfect Positioning”, pp. 141-159
Vol. 43, No. 3:
1.Rolf Ergon, “Microevolutionary system identification and climate response predictions”, pp. 91-99
2.Peihua Han, Guoyuan Li and Houxiang Zhang, “Leveraging Past Experience for Path planning of Marine Vessel: A Docking Example”, pp. 101-109
3.Nour Bargouth, Christer Dalen and David Di Ruscio, “Dynamic positioning, system identification and control of marine vessels”, pp. 111-117
Vol. 43, No. 2:
1.Zhe Ban, Ali Ghaderi, Nima Janatian and Carlos F. Pfeiffer, “Parameter Estimation for a Gas Lifting Oil Well Model Using Bayes' Rule and the Metropolis–Hastings Algorithm”, pp. 39-53
2.Emil H. Thyri and Morten Breivik, “Collision avoidance for ASVs through trajectory planning: MPC with COLREGs-compliant nonlinear constraints”, pp. 55-77
3.Torbjørn Smith and Olav Egeland, “Dynamical Pose Estimation with Graduated Non-Convexity for Outlier Robustness”, pp. 79-89
Vol. 43, No. 1:
1.Martinius Knudsen, Sverre Hendseth, Gunnar Tufte and Axel Sandvig, “Model-free Control of Partially Observable Underactuated Systems by pairing Reinforcement Learning with Delay Embeddings”, pp. 1-8
2.Ola Alstad and Olav Egeland, “Elimination of Reflections in Laser Scanning Systems with Convolutional Neural Networks”, pp. 9-20
3.Andreas Klausen, Hyunh van Khang and Kjell G. Robbersmyr, “RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings”, pp. 21-38
Vol. 42, No. 4:
1.Anna Tupitsina, Jan-Henri Montonen, Jani Alho, Paula Immonen, Mika Lauren, Pia Lindh and Tuomo Lindh, “Simulation tool for dimensioning power train of hybrid working machine”, pp. 143-158