{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T10:44:18Z","timestamp":1709203458259},"reference-count":14,"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>Indirect adaptive controller based on a self-structuring fuzzy system for nonlinear modeling and control<\/jats:title><jats:p>In this paper, a unified nonlinear modeling and control scheme is presented. A self-structuring Takagi-Sugeno (T-S) fuzzy model is used to approximate the unknown nonlinear plant based on I\/O data collected on-line. Both the structure and the parameters of the T-S fuzzy model are updated by an on-line clustering method and a recursive least squares estimation (RLSE) algorithm. The rules of the fuzzy model can be added, replaced or deleted on-line to allow a more flexible and compact model structure. The overall controller consists of an indirect adaptive controller and a supervisory controller. The former is the dominant controller, which maintains the closed-loop stability when the fuzzy system is a good approximation of the nonlinear plant. The latter is an auxiliary controller, which is activated when the tracking error reaches the boundary of a predefined constraint set. It is proven that global stability of the closed-loop system is guaranteed in the sense that all the closed-loop signals are bounded and simulation examples demonstrate the effectiveness of the proposed control scheme.<\/jats:p>","DOI":"10.2478\/v10006-009-0049-8","type":"journal-article","created":{"date-parts":[[2010,1,8]],"date-time":"2010-01-08T18:19:33Z","timestamp":1262974773000},"page":"619-630","source":"Crossref","is-referenced-by-count":11,"title":["Indirect adaptive controller based on a self-structuring fuzzy system for nonlinear modeling and control"],"prefix":"10.61822","volume":"19","author":[{"given":"Ruiyun","family":"Qi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mietek","family":"Brdys","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"37438","reference":[{"issue":"1","key":"1","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1109\/TSMCB.2003.817053","article-title":"An approach to online identification of Takagi-Sugeno fuzzy models","volume":"34","author":"P. Angelov","year":"2004","journal-title":"IEEE Transactions on System, Man and Cybernetics\u2014Part B: Cybernetics"},{"issue":"3","key":"2","first-page":"58","article-title":"Comparing different approaches to model error modeling in robust identification","volume":"3","author":"J. Bezdek","year":"1974","journal-title":"Journal of Cybernetics"},{"issue":"5","key":"3","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1109\/9.384214","article-title":"Adaptive control of a class of nonlinear discrete-time systems using neural networks","volume":"40","author":"F. Chen","year":"1995","journal-title":"IEEE Transactions on Automatic Control"},{"issue":"5","key":"4","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1109\/TFUZZ.2004.834806","article-title":"Fuzzy system-based adaptive iterative learning control for nonlinear plants with initial state errors","volume":"12","author":"C.-J. Chien","year":"2004","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"5","doi-asserted-by":"crossref","first-page":"267","DOI":"10.3233\/IFS-1994-2306","article-title":"Fuzzy model identification based on cluster estimation","volume":"2","author":"S. Chiu","year":"1994","journal-title":"International Journal of Fuzzy Systems"},{"issue":"4","key":"6","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1109\/TFUZZ.2003.814833","article-title":"Online adaptive fuzzy neural identification and control of a class of MIMO nonlinear systems","volume":"11","author":"Y. Gao","year":"2003","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"7","first-page":"761","article-title":"Global random optimization by simultaneous perturbation stochastic approximation","author":"D. Gustafson","year":"1979"},{"issue":"4","key":"8","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1109\/91.728456","article-title":"General SISO Takagi-Sugeno fuzzy system with linear rule consequent are universal approximators","volume":"6","author":"Y. Hao","year":"1998","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"5","key":"9","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1109\/3468.784177","article-title":"Comparison of necessary conditions for typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators","volume":"29","author":"Y. Hao","year":"1999","journal-title":"IEEE Transactions on System, Man and Cybernetics\u2014Part B: Cybernetics"},{"key":"10","volume-title":"Discrete-time Control System","author":"K. Ogata","year":"1995"},{"issue":"6","key":"11","doi-asserted-by":"crossref","first-page":"2293","DOI":"10.1109\/TSMCB.2004.835079","article-title":"T-S model based indirect adaptive fuzzy control using online parameter estimation","volume":"34","author":"C.-W. Park","year":"2004","journal-title":"IEEE Transactions on System, Man and Cybernetics\u2014Part B: Cybernetics"},{"issue":"8","key":"12","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1016\/j.fss.2007.09.012","article-title":"Direct adaptive fuzzy control with a self-structuring algorithm","volume":"159","author":"P. Phan","year":"2008","journal-title":"Fuzzy Sets and Systems"},{"issue":"8","key":"13","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1016\/j.fss.2007.08.009","article-title":"Stable indirect adaptive control based on discrete-time T-S fuzzy model","volume":"159","author":"R. Qi","year":"2008","journal-title":"Fuzzy Sets and Systems"},{"key":"14","volume-title":"Adaptive Fuzzy System and Control: Design and Stability Analysis","author":"L. Wang","year":"1994"}],"container-title":["International Journal of Applied Mathematics and Computer Science"],"original-title":[],"link":[{"URL":"http:\/\/content.sciendo.com\/view\/journals\/amcs\/19\/4\/article-p619.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/view\/j\/amcs.2009.19.issue-4\/v10006-009-0049-8\/v10006-009-0049-8.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T10:27:03Z","timestamp":1709202423000},"score":1,"resource":{"primary":{"URL":"https:\/\/content.sciendo.com\/doi\/10.2478\/v10006-009-0049-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,12,1]]},"references-count":14,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.2478\/v10006-009-0049-8","relation":{},"ISSN":["1641-876X"],"issn-type":[{"value":"1641-876X","type":"print"}],"subject":[],"published":{"date-parts":[[2009,12,1]]}}}