Desired clustering of genetic regulatory networks with mixed delays
Abstract In this study, we propose two techniques for clustering genetic regulatory networks with mixed delays. Laws for identifying coupling parameters are designed, and the Lyapunov theorem and Lipschitz condition are employed to achieve the desired stability and to identify the coupling parameter...
Main Authors: | Chengye Zou, Xiaopeng Wei, Qiang Zhang, Changjun Zhou, Xingyuan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-04-01
|
Series: | Advances in Difference Equations |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13662-018-1534-x |
Similar Items
-
Robust stability of interactional genetic regulatory networks with reaction-diffusion terms
by: Chengye Zou, et al.
Published: (2017-08-01) -
State estimation for delayed genetic regulatory networks with reaction diffusion terms and Markovian jump
by: Chengye Zou, et al.
Published: (2023-03-01) -
Nonlinear Robust Adaptive Control of Universal Manipulators Based on Desired Trajectory
by: Yu Chen, et al.
Published: (2024-03-01) -
Fixed-Time Synchronization Analysis of Genetic Regulatory Network Model with Time-Delay
by: Yajun Zhou, et al.
Published: (2022-05-01) -
The Mediating Role of Relationship Quality in the Relation Between Desire for Relationship and Job Stability With Loneliness in the Elderly
by: Seyyed Saeed Hosseini
Published: (2022-05-01)