5 research outputs found
Stability analysis of genetic regulatory network with additive noises
<p>Abstract</p> <p>Background</p> <p>Genetic regulatory networks (GRN) can be described by differential equations with SUM logic which has been found in many natural systems. Identification of the network components and transcriptional rates are critical to the output behavior of the system. Though transcriptional rates cannot be measured in vivo, biologists have shown that they are alterable through artificial factors in vitro.</p> <p>Results</p> <p>This study presents the theoretical research work on a novel nonlinear control and stability analysis of genetic regulatory networks. The proposed control scheme can drive the genetic regulatory network to desired levels by adjusting transcriptional rates. Asymptotic stability proof is conducted with Lyapunov argument for both noise-free and additive noises cases. Computer simulation results show the effectiveness of the control design and robustness of the regulation scheme with additive noises.</p> <p>Conclusions</p> <p>With the knowledge of interaction between transcriptional factors and gene products, the research results can be applied in the design of model-based experiments to regulate gene expression profiles.</p
Stability of gene regulatory networks modeled by generalized proportional caputo fractional differential equations
A model of gene regulatory networks with generalized proportional Caputo fractional
derivatives is set up, and stability properties are studied. Initially, some properties of absolute value
Lyapunov functions and quadratic Lyapunov functions are discussed, and also, their application to
fractional order systems and the advantage of quadratic functions are pointed out. The equilibrium
of the generalized proportional Caputo fractional model and its generalized exponential stability are
defined, and sufficient conditions for the generalized exponential stability and asymptotic stability
of the equilibrium are obtained. As a special case, the stability of the equilibrium of the Caputo
fractional model is discussed. Several examples are provided to illustrate our theoretical results and
the influence of the type of fractional derivative on the stability behavior of the equilibrium.publishe