2016
DOI: 10.1007/s11432-015-5386-7
|View full text |Cite
|
Sign up to set email alerts
|

Robust H 2/H ∞ global linearization filter design for nonlinear stochastic time-varying delay systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 31 publications
(11 citation statements)
references
References 34 publications
0
11
0
Order By: Relevance
“…It is well known (see [14]) that ζ i − t has the exponential probability distribution with parameter −γ ii . Hence, = 1 − e γiiv 1 − e −γv (6) as desired.…”
Section: Preliminaries and Notationmentioning
confidence: 83%
See 1 more Smart Citation
“…It is well known (see [14]) that ζ i − t has the exponential probability distribution with parameter −γ ii . Hence, = 1 − e γiiv 1 − e −γv (6) as desired.…”
Section: Preliminaries and Notationmentioning
confidence: 83%
“…In recent years, stochastic systems have been considered by many researchers since many practical systems can be modeled using these kinds of systems. Many significant results for stochastic systems have been reported (see [1][2][3][4][5][6][7][8][9][10][11][12][13]). Markovian jump systems are a special class of hybrid stochastic systems, which can be found in some engineering systems including power systems, manufacturing systems, ecosystems, and so forth.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, the H − / H ∞ FDF design for Itô‐type affine nonlinear stochastic systems and quasi‐linear systems have been discussed, and sufficient conditions for the existence of the desired FDF have been given via HJIs and LMIs, respectively. The key to the FDF design of affine nonlinear stochastic systems is how to solve the coupled HJIs, this is a very challenging problem, and some potential effective approaches to overcome this difficulty may refer to [45,46] for global linearization method, [47] for neural network method, and [20] for fuzzy interpolation method. In addition, from our simulation example, in order to select a more suitable combination of ( γ , δ ), a co‐design algorithm for H − index and H ∞ index is necessary.…”
Section: Resultsmentioning
confidence: 99%
“…where F i (0) = 0, i = 1, 2. As a matter of fact, in (25), if one takes g 1 (x) = B 0 , h 1 (x) = C 0 ,…”
Section: Lmi-based Approach For Quasi-linear Systemsmentioning
confidence: 99%
“…Many stochastic systems which not only depend on present and past states but also involve derivatives with delays are modeled by neutral stochastic differential delay equations (NSDDEs). Although extensive literature can be found in this area, we mention a few of them herein [16][17][18][19][20][21][22][23]. Also, many researchers have made efforts in regard to the stability of highly nonlinear neutral stochastic systems.…”
Section: Introductionmentioning
confidence: 99%