Global Mittag-Leffler boundedness of nabla discrete-time fractional-order fuzzy complex-valued molecular models of mRNA and protein in regulatory mechanisms-Reference-Cited by-同舟云学术

Global Mittag-Leffler boundedness of nabla discrete-time fractional-order fuzzy complex-valued molecular models of mRNA and protein in regulatory mechanisms

Published:2024-02 Issue: Volume:129 Page:107669
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Narayanan G.,Ali M. Syed,Karthikeyan Rajagopal,Rajchakit Grienggrai,Thakur Ganesh Kumar,Garg Sudesh Kumar

Funder

National Research Council of Thailand

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis

Reference55 articles.

1. A synthetic oscillatory network of transcriptional regulators;Elowitz;Nature,2000

2. A Bayesian approach to reconstructing genetic regulatory networks with hidden factors;Beal;Bioinformatics,2005

3. Novel adaptive strategies for synchronization control mechanism in nonlinear dynamic fuzzy modeling of fractional-order genetic regulatory networks;Narayanan;Chaos Solitons Fractals,2022

4. Exponential convergence analysis of uncertain genetic regulatory networks with time-varying delays;Wang;ISA Trans,2014

5. Distributed dissipative state estimation for Markov jump genetic regulatory networks subject to Round-Robin scheduling;Shen;IEEE Trans Neural Netw Learn Syst,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed order hantavirus model and its nonstandard discretizations and stability analysis;Mathematical Methods in the Applied Sciences;2024-08-30

2. Observer-based practical prescribed time control for fractional-order nonlinear systems with asymmetric state constraints;Neural Computing and Applications;2024-05-10

3. Positivity and Stability of Caputo Fractional Order Gene Regulatory Networks: The System Comparison Method;International Journal of Intelligent Systems;2024-01