Volume 7, Issue 1, February 2014, Pages 129 - 135
Non-fragile finite-time guaranteed cost fuzzy control for continuous-time nonlinear systems
Authors
Lei Zhang, Xiang-Yun Wang, Kun Zhang
Corresponding Author
Lei Zhang
Received 24 August 2012, Accepted 4 August 2013, Available Online 3 February 2014.
- DOI
- 10.1080/18756891.2013.862379How to use a DOI?
- Keywords
- Finite-time stability, Guaranteed cost, Fuzzy control, Linear matrix inequality
- Abstract
This paper considers the problem of non-fragile finite-time guaranteed cost fuzzy control for continuous-time nonlinear systems. Firstly, the definition on finite-time stability (FTS) for continuous-time nonlinear systems is provided and we give a novel and explicit interpretation for non-fragile finite-time guaranteed cost control. Secondly, sufficient conditions for the existence of state feedback controller are derived in terms of linear matrix inequities (LMIs), which guarantee the requirements of the provided performance criterion. The related optimization problem is also offered to minimize the guaranteed cost performance bound. Finally, an illustrative example is presented to show the validity of the proposed scheme.
- Copyright
- © 2017, 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 - JOUR AU - Lei Zhang AU - Xiang-Yun Wang AU - Kun Zhang PY - 2014 DA - 2014/02/03 TI - Non-fragile finite-time guaranteed cost fuzzy control for continuous-time nonlinear systems JO - International Journal of Computational Intelligence Systems SP - 129 EP - 135 VL - 7 IS - 1 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2013.862379 DO - 10.1080/18756891.2013.862379 ID - Zhang2014 ER -