1 research outputs found
Pinning Controllability of Boolean Networks: Application to Large-Scale Genetic Networks
This paper focuses on making up for the drawback of recent results about
pinning controllability of Boolean control networks (BCNs). First of all, a
sufficient criterion is derived for the controllability of BCNs. Based on this
criterion, to make an arbitrary BCN be controllable, an efficient method is
developed to design the feasible pinning strategy which involves identifying
pinning nodes and determining control form. Comparing with the traditional
pinning approach of which time complexity is , the time complexity
of this pinning method is reduced to with the number
of state variables , that of input variables and the largest in-degree
among all nodes . Since a practical genetic network is always sparsely
connected, is far less than despite its size being large-scale.
Finally, a T-cell receptor kinetics model with state nodes and input
nodes is considered to demonstrate the application of obtained theoretical
results