Fuzzy Guaranteed Cost Control for Uncertain Singular Systems with State and Input delays
Authors
Rui Yang1, Tianmin Huang, Cuihong Wang
1School of Electrical Engineering, Southwest Jiaotong University
Corresponding Author
Rui Yang
Available Online October 2007.
- DOI
- 10.2991/iske.2007.179How to use a DOI?
- Keywords
- T-S fuzzy model; guaranteed cost control; linear matrix inequality (LMI); uncertain time-delay system; singular system
- Abstract
Based on T-S fuzzy model, the robust guaranteed cost control problem is studied for a class of uncertain singular systems with state and input delays. Sufficient conditions are provided for the construction of a state feedback guaranteed cost controller. These conditions are given in terms of the feasibility of linear matrix inequalities (LMIs) and guarantee that the closed-loop systems are quadratically stable. Moreover, an upper bound of the guaranteed cost is also obtained. A numerical example is provided to demonstrate the effectiveness of the proposed method.
- Copyright
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Rui Yang AU - Tianmin Huang AU - Cuihong Wang PY - 2007/10 DA - 2007/10 TI - Fuzzy Guaranteed Cost Control for Uncertain Singular Systems with State and Input delays BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1053 EP - 1058 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.179 DO - 10.2991/iske.2007.179 ID - Yang2007/10 ER -