2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence) 2008
DOI: 10.1109/fuzzy.2008.4630493
|View full text |Cite
|
Sign up to set email alerts
|

H<inf>&#x221E;</inf> piecewise filtering for continuous T-S Fuzzy systems with time delays

Abstract: Based on a piecewise Lyapunov-Krasovskii functional (PLKF), this paper presents an H∞ piecewise filtering method for T-S fuzzy systems with time delays. It is shown that the H∞ filtering performance can be satisfied if there exists a PLKF. The PLKF and the corresponding filter can be obtained by solving a set of linear matrix inequalities (LMIs). An example is presented to demonstrate the efficiency of the proposed method. l

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2011
2011
2013
2013

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 14 publications
0
2
0
Order By: Relevance
“…Since the state variables in control systems are not always available, filtering or state estimation of a dynamic system through an available measurement state is one of the fundamental problems in signal processing, communications, and control application [14][15][16][17][18][19][20][21][22]. There are many works that appeared to cope with the nonlinear filtering problem for T-S fuzzy systems with time delays [23][24][25][26][27][28][29][30][31]. For example, in [23,24], a delay-dependent H ∞ filter design via continuoustime T-S fuzzy model approach is proposed in terms of linear matrix inequalities.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Since the state variables in control systems are not always available, filtering or state estimation of a dynamic system through an available measurement state is one of the fundamental problems in signal processing, communications, and control application [14][15][16][17][18][19][20][21][22]. There are many works that appeared to cope with the nonlinear filtering problem for T-S fuzzy systems with time delays [23][24][25][26][27][28][29][30][31]. For example, in [23,24], a delay-dependent H ∞ filter design via continuoustime T-S fuzzy model approach is proposed in terms of linear matrix inequalities.…”
Section: Introductionmentioning
confidence: 99%
“…Reference [27] proposed the delay-dependent approach to robust H ∞ and ℓ 2 -ℓ ∞ filtering for a class of uncertain nonlinear time-delayed systems. References [28,29] investigated delay-dependent H ∞ filter design problems for discrete-time T-S fuzzy time-delayed systems and continuous-time T-S fuzzy time-delayed systems, respectively, which were both based on a delay-dependent piecewise Lyapunov-Krasovskii functional.…”
Section: Introductionmentioning
confidence: 99%