Optimal Control of Probabilistic Boolean Networks: An Information-Theoretic Approach
The primary challenge with biological sciences is to control gene regulatory networks (GRNs), thereby creating therapeutic intervention methods that alter network dynamics in the desired manner. The optimal control of GRNs with probabilistic Boolean control networks (PBCNs) as the underlying structu...
Enregistré dans:
Auteurs principaux: | K. Sonam, Sarang Sutavani, S. R. Wagh, N. M. Singh |
---|---|
Format: | article |
Langue: | EN |
Publié: |
IEEE
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/11173f0426d848b8a24461be1bfbf18c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Optimal replacement in a system of n-machines with random horizon
par: Ilhuicatzi-Roldan,Rocio, et autres
Publié: (2012) -
Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
par: Thiago A. M. Euzebio, et autres
Publié: (2021) -
Optimization of trajectory tracking control of 3-DOF translational robot use PSO method based on inverse dynamics control for surgery application
par: Ngoc Pham Van Bach, et autres
Publié: (2021) -
OPTIMAL CONTROL OF THE ELECTRIC SHIPS’ PROPULSION MOTORS DURING REVERSAL
par: V. A. Yarovenko, et autres
Publié: (2018) -
Dynamic Output-Only Iterative Learning Control Design
par: Lukasz Hladowski, et autres
Publié: (2021)