Further Results on Asymptotic And Finite-time Stability Analysis of Fractional-Order Time-Delayed Genetic Regulatory Networks

2021 ◽  
Author(s):  
A.Pratap ◽  
R.Raja ◽  
Ravi P.Agarwal ◽  
J.Alzabut ◽  
M.Niezabitowski ◽  
...  
2015 ◽  
Vol 152 ◽  
pp. 19-26 ◽  
Author(s):  
Xujun Yang ◽  
Qiankun Song ◽  
Yurong Liu ◽  
Zhenjiang Zhao

2017 ◽  
Vol 219 ◽  
pp. 9-14 ◽  
Author(s):  
Jianlong Qiu ◽  
Kaiyun Sun ◽  
Chengdong Yang ◽  
Xiao Chen ◽  
Xiangyong Chen ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Lizi Yin

This paper investigates the finite-time stability problem of switching genetic regulatory networks (GRNs) with interval time-varying delays and unbounded continuous distributed delays. Based on the piecewise Lyapunov-Krasovskii functional and the average dwell time method, some new finite-time stability criteria are obtained in the form of linear matrix inequalities (LMIs), which are easy to be confirmed by the Matlab toolbox. The finite-time stability is taken into account in switching genetic regulatory networks for the first time and the average dwell time of the switching signal is obtained. Two numerical examples are presented to illustrate the effectiveness of our results.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Zhaohua Wu ◽  
Zhiming Wang ◽  
Tiejun Zhou

In this paper, we investigate a class of fractional-order time-varying delays gene regulatory networks with structured uncertainties and controllers (DFGRNs). Our contributions lie in three aspects: first, a necessary and sufficient condition on the existence of the solution for the DFGRNs is given by using the properties of the Riemann–Liouville fractional derivative and Caputo’s fractional derivative; second, the unique solution of the DFGRNs is proved under given initial function and certain condition; third, some novel sufficient conditions on finite-time stability of the DFGRNs are established by using a generalized Gronwall inequality and norm technique, and some conclusions on the finite-time stability of the DFGRNs with memory state-feedback controllers are reached, and those conditions and conclusions depend on the fractional order of the DFGRNs. One of the most interesting findings is that the “estimated time” of the finite-time stability is indeed related to the structured uncertainties, state-feedback controllers, time delays, and the fractional order of the system.


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