10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)
DOI: 10.1109/fuzz.2001.1007330
|View full text |Cite
|
Sign up to set email alerts
|

A dual design problem via multiple Lyapunov functions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
18
0

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 36 publications
(18 citation statements)
references
References 13 publications
0
18
0
Order By: Relevance
“…Our approach is based on two assumptions. The first one relies on the existence of a proportionality relation between multiple quadratic Lyapunov functions, and the second one considers an upper bound to the time derivative of the premise membership function as assumed by Tanaka et al (2001a;2001b;2001c;. Simulation examples demonstrate the effectiveness of our approach even for systems that do not admit a quadratic stabilization.…”
Section: Abdelmalek Et Almentioning
confidence: 94%
See 1 more Smart Citation
“…Our approach is based on two assumptions. The first one relies on the existence of a proportionality relation between multiple quadratic Lyapunov functions, and the second one considers an upper bound to the time derivative of the premise membership function as assumed by Tanaka et al (2001a;2001b;2001c;. Simulation examples demonstrate the effectiveness of our approach even for systems that do not admit a quadratic stabilization.…”
Section: Abdelmalek Et Almentioning
confidence: 94%
“…In this context, new stability conditions for TakagiSugeno fuzzy models are derived in this paper, based on the use of multiple Lyapunov functions that have been discussed (Cao et al, 1997;Chadli et al, 2000;Hadjili, 2002;Jadbabaie, 1999;Tanaka et al, 2001a) due to their properties of conservatism reduction. It is demonstrated that sufficient conditions for the stability and performance of a system are stated in terms of the feasibility of a set of Linear Matrix Inequalities (LMIs) (Boyd et al, 1994;Tanaka and Sugeno, 1992;Tanaka et al, 2001c), where the problem can be numerically solved by convex optimization techniques.…”
Section: Abdelmalek Et Almentioning
confidence: 99%
“…Nonetheless, the quadratic approach presents serious limitations because its solutions are inherently conservative, i.e., there are stable or stabilizable models which do not have a quadratic solution , this conservativeness comes from different sources : the type of T-S model , , the way the membership functions are dropped-off to obtain LMI expressions [Tuan & al, 2001], , 2007a, the integration of membership-function information [Sala & Guerra, 2008], , or the choice of Lyapunov function [Johansson & al, 1999], [Tanaka & al, 2001c], there was room for reducing this conservativeness by changing the choice of the Lyapunov function.…”
Section: T X T Px T =mentioning
confidence: 99%
“…In other approaches, it is taking in consideration the upper bound for the time derivative of the premise membership function as assumed by [Tanaka & al, 2001a[Tanaka & al, , 2001c[Tanaka & al, , 2003.…”
Section: Objetcives and Contributionsmentioning
confidence: 99%
See 1 more Smart Citation