2006
DOI: 10.1109/tac.2006.878784
|View full text |Cite
|
Sign up to set email alerts
|

<tex>$H_infty$</tex>Observer Design for Lipschitz Nonlinear Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

1
81
0
1

Year Published

2009
2009
2020
2020

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 155 publications
(86 citation statements)
references
References 23 publications
1
81
0
1
Order By: Relevance
“…It is a highly active research area in academic. Methods based on Lyapunov stability [3][4], H  control [5] [7] and LMI [3][4][6] have been successfully carried out to handle control designs for system with Lipschitz nonlinearity. In previous studies, only Lipschitz nonlinearity of state was considered.…”
Section: Introductionmentioning
confidence: 99%
“…It is a highly active research area in academic. Methods based on Lyapunov stability [3][4], H  control [5] [7] and LMI [3][4][6] have been successfully carried out to handle control designs for system with Lipschitz nonlinearity. In previous studies, only Lipschitz nonlinearity of state was considered.…”
Section: Introductionmentioning
confidence: 99%
“…However, it is pointed out that this standard problem may have no solution because the regularity assumption is not satisfied. This work is extended in [18] by transforming the problem in order to satisfy the regularity assumption required in the H ∞ optimization.…”
Section: Introductionmentioning
confidence: 99%
“…He discussed also the equivalence between the stability condition and the H ∞ minimization in the standard form, and pointed out that this design method was not solvable since the regularity assumptions are not satisfied. Recently, in [19], the result of Rajamani [18] is extended, the authors proposed a dynamic observer and provide a solution to the problem of regularity assumptions by modifying the H ∞ problem. Other classes of nonlinear systems are also studied in the literature to design observers for nonlinear systems, namely Linear Parameter Varying systems (LPV) [3] and bilinear systems.…”
Section: Introductionmentioning
confidence: 99%