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http://hdl.handle.net/10397/1379
Title: | Stability and robustness analysis of uncertain multivariable fuzzy digital control systems | Authors: | Leung, FHF Lam, HK Tam, PKS |
Issue Date: | 1998 | Source: | The 1998 IEEE International Conference on Fuzzy Systems proceedings : IEEE World Congress on Computational Intelligence : May 4-May 9, 1998, Anchorage, Alaska, USA, p. 372-377 | Abstract: | This paper presents the stability and robustness analysis of digital fuzzy control systems subject to parameter uncertainties. To carry out the analysis, we first describe exactly a digital nonlinear system with parameter uncertainties with a fuzzy plant model. Second, a digital fuzzy controller is proposed to close the feedback loop. Three design approaches are introduced. Based on the resultant fuzzy control system, a stability condition is derived for each design approach. A numerical example is given to show the merits. | Keywords: | Control system analysis Digital control systems Mathematical models Multivariable control systems Parameter estimation Robustness (control systems) System stability |
Publisher: | IEEE | ISBN: | 0-7803-4863-X | Rights: | © 1998 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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