Fuzzy dynamic integral sliding-mode control for nonlinear descriptor systems
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
Original language | English |
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Title of host publication | 2017 36th Chinese Control Conference (CCC) |
Publisher | IEEE |
Pages | 4186-4191 |
ISBN (Electronic) | 978-988-15639-3-4 |
ISBN (Print) | 978-1-5386-2918-5 |
Publication status | Published - Jul 2017 |
Conference
Title | 36th Chinese Control Conference, CCC 2017 |
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Location | Dalian International Convention Center |
Place | China |
City | Dalian |
Period | 26 - 28 July 2017 |
Link(s)
Abstract
This paper investigates the issue of fuzzy dynamic integral sliding-mode controllers for nonlinear descriptor systems based on Takagi-Sugeno (T-S) fuzzy models. A fuzzy dynamic integral sliding-mode control (DISMC) scheme is developed for the nonlinear descriptor systems to remove the restrictive assumption that all local models share a common input matrix, which is required in most existing fuzzy integral sliding-mode control approaches. Finally, a numerical example is presented to show the effectiveness of the proposed approaches.
Research Area(s)
- Dynamic integral sliding-mode controllers, nonlinear descriptor systems, T-S fuzzy models
Citation Format(s)
Fuzzy dynamic integral sliding-mode control for nonlinear descriptor systems. / Gong, Dianjun; Gao, Qing; Wang, Yong et al.
2017 36th Chinese Control Conference (CCC). IEEE, 2017. p. 4186-4191 8028014.
2017 36th Chinese Control Conference (CCC). IEEE, 2017. p. 4186-4191 8028014.
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review