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Publisher Copyright: © 2016 IEEE. This paper presents a robust machine learning framework for modeling and control of hydraulic actuators. We identify several important challenges concerning learning accurate models of the dynamics for real machines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::699c193d5c5f18256a217525b32332da
https://aaltodoc.aalto.fi/handle/123456789/116078
https://aaltodoc.aalto.fi/handle/123456789/116078
Autor:
Joan Dzenowagis, Gert Purkert, Jeremy C Wyatt, Gerard H. van der Zanden, K. Lampe, Marc Muret, Chris Sigouin, Christiane Schmitz, Carl J. Brandt, Sasha Shepperd, Pål Lindström, Persephone Doupi, Miquel Angela Mayer Pujadas, Cesar Molinero, Gunther Eysenbach, Frank von Danwitz, Tony Delamothe, Myra Sidrassi, Frank Schuler, Georg von Below, Martin D. Denz, Pelle Gustafsson, Wouter Tukker, Denise Silber, Chris Silagy, Alex R. Jadad, Ramon Sarrias Ramis, Margaret A. Winker, Markus Blume, Debra Oconnor, Ulrich Schwanke, Alejandro Cacherosky, Franz Frühwald, Peter Mills, Ken Campell, Guy de Roy, Joerg Nitzsche, Leena Lodenius, Thomas Wetter, Hugo Kitzinger, Odile Leroy, Leonard B. Lerer, Edward Jacob, Phil Cross, Lucas M. Bachmann, Frederik Tautz, Antti Malmivaara, Robert C. Hsiung, Thomas Isenberg, Gabriel Yihune, Nicolas Lienert, Michel Labrecque, Katrin Hörner, Gerhard Heine, Carl Bénédict Roth, Carl R. Blesius, Christian Thomeczek, Gerard Freriks, Dan Brickley, Jostein Ingulfsen, Inge Kokot, Lisa Gray, Petra Wilson, Nicolas P. Terry, Jacobo Kelber, Martin Sonderegger, Luk Schoonbaert, Hans-Joachim Koubenec, Christer Edling, Stephane Lejeune, Wolfgang Nagel, Ahmad Risk, Richard Cleland, Christine Reuter, Sebastian Schmid, Anke Steckelberg, Tim Nater, C. Peter Waegemann, Sándor Lipp, Elenice de Castro
Publikováno v:
Journal of Medical Internet Research