Policy iteration approach to the infinite horizon average optimal control of probabilistic Boolean networks
This article studies the optimal control of probabilistic Boolean control networks (PBCNs)
with the infinite horizon average cost criterion. By resorting to the semitensor product (STP) …
with the infinite horizon average cost criterion. By resorting to the semitensor product (STP) …
Optimal control of Boolean control networks with average cost: A policy iteration approach
This paper deals with the infinite horizon optimal control problem for deterministic Boolean
control networks (BCNs) with average cost. Based on the semi-tensor product of matrices …
control networks (BCNs) with average cost. Based on the semi-tensor product of matrices …
[图书][B] Probabilistic Boolean networks: the modeling and control of gene regulatory networks
I Shmulevich, ER Dougherty - 2010 - SIAM
It was around the period of World War II that Arturo Rosenblueth and Norbert Wiener were
taking the first steps in the direction of systems medicine. They formed an interesting pair …
taking the first steps in the direction of systems medicine. They formed an interesting pair …
A finite convergence criterion for the discounted optimal control of stochastic logical networks
Y Wu, T Shen - IEEE Transactions on Automatic Control, 2017 - ieeexplore.ieee.org
Stochastic logical networks (SLNs) are discrete-time stochastic dynamical systems with
Boolean (or multivalued) logical state variables. The discounted infinite horizon optimal …
Boolean (or multivalued) logical state variables. The discounted infinite horizon optimal …
An algebraic expression of finite horizon optimal control algorithm for stochastic logical dynamical systems
Y Wu, T Shen - Systems & Control Letters, 2015 - Elsevier
This paper investigates the finite horizon optimal control problem for the stochastic logical
dynamical systems with finite states. After giving the equivalent descriptions of stochastic …
dynamical systems with finite states. After giving the equivalent descriptions of stochastic …
Reinforcement learning approach to feedback stabilization problem of probabilistic Boolean control networks
In this letter, we study the control of probabilistic Boolean control networks (PBCNs) by
leveraging a model-free reinforcement learning (RL) technique. In particular, we propose a …
leveraging a model-free reinforcement learning (RL) technique. In particular, we propose a …
On controllability and stabilizability of probabilistic Boolean control networks
Y Zhao, DZ Cheng - Science China Information Sciences, 2014 - Springer
The controllability of probabilistic Boolean control networks (PBCNs) is first considered.
Using the input-state incidence matrices of all models, we propose a reachability matrix to …
Using the input-state incidence matrices of all models, we propose a reachability matrix to …
Controllability of probabilistic Boolean control networks
F Li, J Sun - Automatica, 2011 - Elsevier
This paper deals with the controllability of probabilistic Boolean control networks. First, a
survey on the semi-tensor product approach to probabilistic Boolean networks is given …
survey on the semi-tensor product approach to probabilistic Boolean networks is given …
Set stabilization of probabilistic Boolean networks using pinning control
F Li, L Xie - IEEE transactions on neural networks and learning …, 2018 - ieeexplore.ieee.org
Probabilistic Boolean network (PBN) is a kind of stochastic logical system in which update
functions are randomly selected from a set of candidate Boolean functions according to a …
functions are randomly selected from a set of candidate Boolean functions according to a …
Control of gene regulatory networks using Bayesian inverse reinforcement learning
M Imani, UM Braga-Neto - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states
to desirable ones has received much attention in recent years. Most of the existing methods …
to desirable ones has received much attention in recent years. Most of the existing methods …