Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1422
Title: | Fuzzy control of multivariable nonlinear systems subject to parameter uncertainties : model reference approach | Authors: | Lam, HK Leung, FHF Tam, PKS |
Issue Date: | 2000 | Source: | FUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas, p. 1037-1040 | Abstract: | This paper presents the control of nonlinear systems subject to parameter uncertainties under a fuzzy control approach. The nonlinear plant tackled in this paper is an n-order nonlinear systems with n inputs. A design procedure of fuzzy controller will be provided such that the states of the closed-loop system will follow those of a user-defined stable reference model despite the presence of parameter uncertainties. A numerical example will be given to show the design procedures and the merits of the proposed fuzzy controller. | Keywords: | Closed loop control systems Control system analysis Control system synthesis Mathematical models Multivariable control systems Nonlinear control systems |
Publisher: | IEEE | ISBN: | 0-7803-5877-5 | Rights: | © 2000 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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fuzzy control of multivariable nonlinear_00.pdf | 310.27 kB | Adobe PDF | View/Open |
Page views
114
Last Week
2
2
Last month
Citations as of Jun 4, 2023
Downloads
144
Citations as of Jun 4, 2023

Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.