Universal fuzzy controllers based on generalized T-S fuzzy models
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 55-70 |
Journal / Publication | Fuzzy Sets and Systems |
Volume | 201 |
Publication status | Published - 16 Aug 2012 |
Link(s)
Abstract
This paper investigates the universal fuzzy control problem based on generalized T-S fuzzy models. The universal approximation capability of the generalized T-S fuzzy models is shown and an approach to robust controller design for general nonlinear systems based on this kind of generalized T-S fuzzy models is developed. The results of universal fuzzy controllers for two classes of nonlinear systems are then given, and constructive procedures to obtain the universal fuzzy controllers are also provided. An example is finally presented to show the effectiveness of our approach. © 2012 Elsevier B.V. All rights reserved.
Research Area(s)
- Fuzzy control design, T-S fuzzy models, Universal approximators, Universal fuzzy controllers
Citation Format(s)
Universal fuzzy controllers based on generalized T-S fuzzy models. / Gao, Qing; Feng, Gang; Wang, Yong et al.
In: Fuzzy Sets and Systems, Vol. 201, 16.08.2012, p. 55-70.
In: Fuzzy Sets and Systems, Vol. 201, 16.08.2012, p. 55-70.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review