Synchronization of Markovian jump genetic oscillators with nonidentical feedback delay

Authors:
Wenbing Zhang;Jian-An Fang;Qingying Miao;Liang Chen;Wu Zhu
Affiliations:
School of Information Science and Technology, Donghua University, Shanghai 201620, China;School of Information Science and Technology, Donghua University, Shanghai 201620, China;Continuing Education School, Shanghai Jiaotong University, Shanghai, China;GuangXi Branch, Agricultural Bank of China, China;School of Information Science and Technology, Donghua University, Shanghai 201620, China
Venue:
Neurocomputing
Year:
2013

Citing 12
Cited 0

External Control in Markovian Genetic Regulatory Networks

Machine Learning
External control in Markovian genetic regulatory networks: the imperfect information case

Bioinformatics
Stability analysis of uncertain genetic sum regulatory networks

Automatica (Journal of IFAC)
Brief paper: Stability and stabilization of Markovian jump linear systems with partly unknown transition probabilities

Automatica (Journal of IFAC)
Brief paper: Mode-dependent H∞ filtering for discrete-time Markovian jump linear systems with partly unknown transition probabilities

Automatica (Journal of IFAC)
Global synchronization of delay-coupled genetic oscillators

Neurocomputing
Stability and synchronization of discrete-time Markovian jumping neural networks with mixed mode-dependent time delays

IEEE Transactions on Neural Networks
Impulsive pinning synchronization of stochastic discrete-time networks

Neurocomputing
Delay robustness in consensus problems

Automatica (Journal of IFAC)
Synchronization of stochastic genetic oscillator networks with time delays and Markovian jumping parameters

Neurocomputing
Parameters identification of unknown delayed genetic regulatory networks by a switching particle swarm optimization algorithm

Expert Systems with Applications: An International Journal
Brief paper: Stabilization for Markovian jump systems with partial information on transition probability based on free-connection weighting matrices

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper concerns the exponential synchronization problem of Markovian jump genetic oscillators with partly unknown transition probabilities. We consider three types of feedback delays: feedback with nonidentical delay, feedback without self delay and feedback with identical delay. Based on Lyapunov functional methods and stochastic analysis techniques, the synchronization problem of genetic oscillators are derived. Finally, an example is given to illustrate the effectiveness of the derived results.