{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T03:03:51Z","timestamp":1761102231742},"reference-count":18,"publisher":"University of Zielona G\u00f3ra, Poland","issue":"3","license":[{"start":{"date-parts":[[2016,9,1]],"date-time":"2016-09-01T00:00:00Z","timestamp":1472688000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>This paper presents a new formulation for set-membership parameter estimation of fractional systems. In such a context, the error between the measured data and the output model is supposed to be unknown but bounded with <jats:italic>a priori<\/jats:italic> known bounds. The bounded error is specified over measurement noise, rather than over an equation error, which is mainly motivated by experimental considerations. The proposed approach is based on the optimal bounding ellipsoid algorithm for linear output-error fractional models. A numerical example is presented to show effectiveness and discuss results.<\/jats:p>","DOI":"10.1515\/amcs-2016-0038","type":"journal-article","created":{"date-parts":[[2016,9,30]],"date-time":"2016-09-30T07:47:30Z","timestamp":1475221650000},"page":"543-553","source":"Crossref","is-referenced-by-count":5,"title":["Recursive set membership estimation for output\u2013error fractional models with unknown\u2013but\u2013bounded errors"],"prefix":"10.61822","volume":"26","author":[{"given":"Messaoud","family":"Amairi","sequence":"first","affiliation":[{"name":"Research Laboratory of Modeling, Analysis and Control of Systems, National Engineering School of Gabes (ENIG), University of Gabes, Omar Ibn el Khattab St., 6029 Gabes, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"37438","published-online":{"date-parts":[[2016,9,29]]},"reference":[{"key":"2021040614364643965_j_amcs-2016-0038_ref_001_w2aab2b8c20b1b7b1ab1ab1Aa","doi-asserted-by":"crossref","unstructured":"Amairi, M. 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