{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T23:34:38Z","timestamp":1772321678105,"version":"3.50.1"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2011,4,20]],"date-time":"2011-04-20T00:00:00Z","timestamp":1303257600000},"content-version":"vor","delay-in-days":109,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2011,1]]},"abstract":"<jats:p>Preisach model is a well\u2010known hysteresis identification method in which the hysteresis is modeled by linear combination of hysteresis operators. Although Preisach model describes the main features of system with hysteresis behavior, due to its rigorous numerical nature, it\nis not convenient to use in real\u2010time control applications. Here a novel neural network approach based on the Preisach model is addressed,  provides accurate hysteresis\nnonlinearity modeling in comparison with the classical Preisach model and can be used for many applications such as hysteresis nonlinearity control and identification in SMA and Piezo actuators and performance evaluation in some physical systems such as magnetic materials. To evaluate the proposed approach, an experimental apparatus consisting one\u2010dimensional flexible aluminum beam actuated with an SMA wire is used. It is shown that the proposed ANN\u2010based Preisach model can identify hysteresis nonlinearity more accurately than the classical one. It also has powerful ability to precisely predict the higher\u2010order hysteresis minor loops behavior even though only the first\u2010order reversal data are in use. It is also shown that to get the same precise results in the classical Preisach model, many more data should be used, and this directly increases the experimental cost.<\/jats:p>","DOI":"10.1155\/2011\/458768","type":"journal-article","created":{"date-parts":[[2011,4,20]],"date-time":"2011-04-20T19:46:22Z","timestamp":1303328782000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Hysteresis Nonlinearity Identification Using New Preisach Model\u2010Based Artificial Neural Network Approach"],"prefix":"10.1155","volume":"2011","author":[{"given":"Mohammad Reza","family":"Zakerzadeh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohsen","family":"Firouzi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassan","family":"Sayyaadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeed Bagheri","family":"Shouraki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2011,4,20]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2008.924580"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2008.930921"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmmm.2007.03.177"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2004.830462"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2004.825319"},{"key":"e_1_2_9_6_2","first-page":"634","article-title":"Modeling and control of shape memory alloy actutors using Presiach model, genetic algorithm and fuzzy logic","volume":"20","author":"Ahn K. K.","year":"2008","journal-title":"Journal of Mechanical Science and Technology"},{"key":"e_1_2_9_7_2","unstructured":"GorbetR. B. Control of Hysteresis Systems with Preisach Represtations Ph.D. thesis 1997 University of Waterloo Ontario Canada."},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/3516.891051"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2004.04.006"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1088\/0964-1726\/6\/3\/007"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2006.09.020"},{"key":"e_1_2_9_12_2","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1007\/BF02915980","article-title":"Improvement of the performance of hysteresis compensation in SMA actuators by using inverse Preisach model in closed\u2014loop control system","volume":"20","author":"Ahn K. 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