2022
DOI: 10.3934/dcdss.2022004
|View full text |Cite
|
Sign up to set email alerts
|

State bounding for time-delay impulsive and switching genetic regulatory networks with exogenous disturbance

Abstract: <p style='text-indent:20px;'>This paper focuses on the state bounding problem for the time-delay impulsive and switching genetic regulatory networks (ISGRNs) with exogenous disturbances. Firstly, a sufficient criterion for the state bounding is obtained such that all the trajectories of ISGRNs under consideration converge exponentially into a sphere on the basis of an average dwell time (ADT) switching. Besides, globally exponential stability conditions for the considered system are further stated when t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(12 citation statements)
references
References 37 publications
0
12
0
Order By: Relevance
“…So although we only consider constant discrete delays and constant distributed delays in this paper, however, the proposed method can be easily extended to the continuous bounded time‐varying case. Therefore, Theorem 1 is more simpler and easily verified than Yan et al, 42 , Corollary 2 and the estimated state bounding of Theorem 1 is less conservative.…”
Section: Resultsmentioning
confidence: 89%
See 4 more Smart Citations
“…So although we only consider constant discrete delays and constant distributed delays in this paper, however, the proposed method can be easily extended to the continuous bounded time‐varying case. Therefore, Theorem 1 is more simpler and easily verified than Yan et al, 42 , Corollary 2 and the estimated state bounding of Theorem 1 is less conservative.…”
Section: Resultsmentioning
confidence: 89%
“…Choosing u 1 = col(0. transcendental equations are needed to be solved according to Yan et al 42 , Corollary 2 By comparison, the proposed approach in the paper has lower computational complexity than Yan et al 42 ; therefore, it's easier to be applied. The above results are obtained in the case of the constant time delays.…”
Section: Case Imentioning
confidence: 99%
See 3 more Smart Citations