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

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2017 36th Chinese Control Conference (CCC)
PublisherIEEE
Pages4186-4191
ISBN (Electronic)978-988-15639-3-4
ISBN (Print)978-1-5386-2918-5
Publication statusPublished - Jul 2017

Conference

Title36th Chinese Control Conference, CCC 2017
LocationDalian International Convention Center
PlaceChina
CityDalian
Period26 - 28 July 2017

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.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review