It is well-known that models of genetic regulatory networks (GRNs) are unavoidably affected by uncertainties. This paper addresses the problem of estimating stable uncertainty sets of uncertain GRNs with guaranteed disturbance attenuation. Specifically, the GRNs are assumed to be affected by disturbances in the form of Wiener processes, and by uncertainties in the form of a parameter vector that determines the coefficients of the model via given functions. It is shown that estimates of the sought stable uncertainty sets can be obtained through a recursive strategy based on parameter-dependent Lyapunov functions and convex optimization. Some examples with fictitious and real biological models illustrate the use of the proposed strategy.link_...
This Letter is concerned with the robust state estimation problem for uncertain time-delay Markovian...
Abstract. The lack of precise numerical information for the values of biological parameters severely...
An important problem in systems biology consists of establishing whether an equilibrium point of a g...
Genetic regulatory network (GRN) is a fundamental research area in systems biology. This thesis s...
This paper addresses the problem of establishing robust stability of uncertain genetic networks with...
This paper investigates robust stability properties of genetic regulatory networks (GRNs) affected b...
This paper presents the robust stability criteria for uncertain genetic regulatory networks with tim...
In this article, the state estimation problem is investigated for genetic regulatory networks (GRNs)...
Abstract — Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises ...
Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause...
Abstract—This paper addresses the problem of investigating stochastic stability of uncertain genetic...
This study seeks to address the finite-time robust stability of delayed genetic regulatory networks ...
Part of 2010 IEEE Multi-Conference on Systems and ControlThis paper addresses the problem of investi...
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
Abstract. The lack of precise numerical information for the values of biological parameters severely...
This Letter is concerned with the robust state estimation problem for uncertain time-delay Markovian...
Abstract. The lack of precise numerical information for the values of biological parameters severely...
An important problem in systems biology consists of establishing whether an equilibrium point of a g...
Genetic regulatory network (GRN) is a fundamental research area in systems biology. This thesis s...
This paper addresses the problem of establishing robust stability of uncertain genetic networks with...
This paper investigates robust stability properties of genetic regulatory networks (GRNs) affected b...
This paper presents the robust stability criteria for uncertain genetic regulatory networks with tim...
In this article, the state estimation problem is investigated for genetic regulatory networks (GRNs)...
Abstract — Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises ...
Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause...
Abstract—This paper addresses the problem of investigating stochastic stability of uncertain genetic...
This study seeks to address the finite-time robust stability of delayed genetic regulatory networks ...
Part of 2010 IEEE Multi-Conference on Systems and ControlThis paper addresses the problem of investi...
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of ...
Abstract. The lack of precise numerical information for the values of biological parameters severely...
This Letter is concerned with the robust state estimation problem for uncertain time-delay Markovian...
Abstract. The lack of precise numerical information for the values of biological parameters severely...
An important problem in systems biology consists of establishing whether an equilibrium point of a g...