{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:19:30Z","timestamp":1761488370188},"reference-count":18,"publisher":"University of Zielona G\u00f3ra, Poland","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,12,1]]},"abstract":"<jats:title>Recursive identification algorithm for dynamic systems with output backlash and its convergence<\/jats:title><jats:p>This paper proposes a recursive identification method for systems with output backlash that can be described by a pseudo-Wiener model. In this method, a novel description of the nonlinear part of the system, i.e., backlash, is developed. In this case, the nonlinear system is decomposed into a piecewise linearized model. Then, a modified recursive general identification algorithm (MRGIA) is employed to estimate the parameters of the proposed model. Furthermore, the convergence of the MRGIA for the pseudo-Wiener system with backlash is analysed. Finally, a numerical example is presented.<\/jats:p>","DOI":"10.2478\/v10006-009-0050-2","type":"journal-article","created":{"date-parts":[[2010,1,8]],"date-time":"2010-01-08T18:19:33Z","timestamp":1262974773000},"page":"631-638","source":"Crossref","is-referenced-by-count":29,"title":["Recursive identification algorithm for dynamic systems with output backlash and its convergence"],"prefix":"10.61822","volume":"19","author":[{"given":"Ruili","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyuan","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonghong","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"37438","reference":[{"issue":"2","key":"1","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1109\/9.341794","article-title":"Recursive identification method for MISO Wiener-Hammerstein model","volume":"40","author":"M. 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