The synthetic genetic regulatory networks (GRNs) prove to be a powerful tool in studying gene regulation processes in living organisms. In order to take vagueness into consideration, fuzzy theory is incorporated in the GRNs and we found a novel system, namely fuzzy genetic regulatory networks (FGRNs). By applying the Homeomorphism theorem, we demonstrated an existence, uniqueness, and asymptotic stability analysis of the equilibrium point of FGRNs with time delay in the leakage term and unbounded distributed delays. By utilizing Lyapunov functional method and the linear matrix inequality (LMI) techniques, some new and useful criteria of the FGRNs with respect to the equilibrium point are derived. The derived criteria are of the form of LMI,...
Genes are the fundamental units of biological organisms. Genes encode proteins which carryout variou...
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
Abstract — Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises ...
International audienceThe synthetic Genetic Regulatory Networks (GRNs) have proven to be a powerful ...
Date of publication 7 Sept. 2016This paper deals with the sampled-data stabilization problem for Tak...
This paper presents the robust stability criteria for uncertain genetic regulatory networks with tim...
The problem of finite-time stability of switched genetic regulatory networks (GRNs) with time-varyin...
This paper concerns the problem of stability analysis for delayed stochastic genetic regulatory netw...
This paper investigates the finite-time stability problem of switching genetic regulatory networks (...
Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause...
This study seeks to address the finite-time robust stability of delayed genetic regulatory networks ...
A method to study asymptotic properties of solutions to systems of differential equations with dist...
In this paper, the asymptotic stability problem of genetic regulatory networks with time-varying/con...
Monostability and multistability are proven to be two important topics in synthesis biology and syst...
Genetic regulatory network (GRN) is a fundamental research area in systems biology. This thesis s...
Genes are the fundamental units of biological organisms. Genes encode proteins which carryout variou...
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
Abstract — Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises ...
International audienceThe synthetic Genetic Regulatory Networks (GRNs) have proven to be a powerful ...
Date of publication 7 Sept. 2016This paper deals with the sampled-data stabilization problem for Tak...
This paper presents the robust stability criteria for uncertain genetic regulatory networks with tim...
The problem of finite-time stability of switched genetic regulatory networks (GRNs) with time-varyin...
This paper concerns the problem of stability analysis for delayed stochastic genetic regulatory netw...
This paper investigates the finite-time stability problem of switching genetic regulatory networks (...
Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause...
This study seeks to address the finite-time robust stability of delayed genetic regulatory networks ...
A method to study asymptotic properties of solutions to systems of differential equations with dist...
In this paper, the asymptotic stability problem of genetic regulatory networks with time-varying/con...
Monostability and multistability are proven to be two important topics in synthesis biology and syst...
Genetic regulatory network (GRN) is a fundamental research area in systems biology. This thesis s...
Genes are the fundamental units of biological organisms. Genes encode proteins which carryout variou...
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
Abstract — Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises ...