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http://hdl.handle.net/10397/1397
| Title: | On fuzzy model reference adaptive control systems : full-state feedback and output feedback | Authors: | Leung, FHF Lam, HK Tam, PKS |
Issue Date: | 1997 | Source: | ISCAS '97 : proceedings of 1997 IEEE International Symposium on Circuits and Systems : circuits and systems in the information age : June 9-12, 1997, Hong Kong, p. 665-668 | Abstract: | The problem of model reference adaptive control (MRAC) for nonlinear time-varying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant model. The stability of the closed-loop system is guaranteed. Cases of full-state feedback and output feedback are to be investigated. The results and merits of the proposed algorithms are illustrated by an example for each case. | Keywords: | Adaptive algorithms Feedback control Fuzzy control Fuzzy sets Mathematical models System stability Time varying systems |
Publisher: | IEEE | ISBN: | 0-7803-3583-X | Rights: | © 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Conference Paper |
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| Fuzzy model reference adaptive_97.pdf | 269.17 kB | Adobe PDF | View/Open |
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