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The underlying fuzzy model is of Mamdani type assuming a standard defuzzification procedure such as the weighted average. Learning laws are proposed which ensure that the identification error converges to zero exponentially fast or to a residual set when a modeling error is applied. There are two core ideas in the proposed method: (1) Several high order neural networks are specialized to work around fuzzy centers, separating in this way the system into neuro-fuzzy subsystems, and (2) the use of a novel method called switching parameter hopping against the commonly used projection in order to restrict the weights and avoid drifting to infinity. <\/jats:p>","DOI":"10.1142\/s0129065712500049","type":"journal-article","created":{"date-parts":[[2012,3,29]],"date-time":"2012-03-29T10:18:35Z","timestamp":1333016315000},"page":"1250004","source":"Crossref","is-referenced-by-count":21,"title":["DYNAMICAL RECURRENT NEURO-FUZZY IDENTIFICATION SCHEMES EMPLOYING SWITCHING PARAMETER HOPPING"],"prefix":"10.1142","volume":"22","author":[{"given":"DIMITRIOS","family":"THEODORIDIS","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YIANNIS","family":"BOUTALIS","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece"},{"name":"Department of Electrical, Electronic and Communication Engineering, Chair of Automatic Control, University of Erlangen-Nuremberg, 91058 Erlangen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MANOLIS","family":"CHRISTODOULOU","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Technical University of Crete, 73100 Chania, Crete, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,4,7]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065707001202"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065707001251"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065709002130"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1002\/047084535X"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065709001884"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/0096-3003(94)90134-1"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1016\/0925-2312(93)90042-2"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9445(1997)123:11(1535)"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9364(1997)123:4(450)"},{"key":"rf10","first-page":"368","volume":"125","author":"Adeli H.","journal-title":"J. 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