An Approach to Finite-Time Controller Design for a Class of T-S Fuzzy 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 | Proceedings of the 12th World Congress on Intelligent Control and Automation (WCICA 2016) |
Publisher | IEEE |
Pages | 2103-2108 |
Publication status | Published - 12 Jun 2016 |
Conference
Title | The 12th World Congress on Intelligent Control and Automation (WCICA 2016) |
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Place | China |
City | Guilin |
Period | 12 - 15 June 2016 |
Link(s)
Abstract
This paper studies the finite-time stabilization problem for a class of nonlinear systems described by Takagi-Sugeno (T-S) fuzzy dynamic models with parametric uncertainties. A novel non-Lipschitz continuous state feedback control scheme with augmented dynamics is developed. It is shown that finite-time convergence of the closed loop system can be achieved, and the potential controller singularity problem can be avoided. Finally, one example is given to illustrate the effectiveness of the proposed control approach.
Citation Format(s)
Proceedings of the 12th World Congress on Intelligent Control and Automation (WCICA 2016). IEEE, 2016. p. 2103-2108.
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review