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Abstract This paper is concerned with the stochastic stabilization for genetic regulatory networks. Based on the Lyapunov stability theory in combination with certain convex algorithm, we obtain the sufficient condition… Click to show full abstract
Abstract This paper is concerned with the stochastic stabilization for genetic regulatory networks. Based on the Lyapunov stability theory in combination with certain convex algorithm, we obtain the sufficient condition under which the unstable genetic regulatory network can be stabilized by using Brownian motion. Finally, a numerical illustrative example is provided to show the effectiveness and correctness of the proposed method.
Keywords:
regulatory networks;
stochastic stabilization;
genetic regulatory;
stabilization genetic
Journal Title: Neurocomputing
Year Published: 2017
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Journal Title: Neurocomputing
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!