Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Regulation of Cellular States in Mammalian Cells from a Genomewide View
Gene Regulations and Metabolism - Postgenomic Computational Approaches
Controllability and observability of Boolean control networks
Automatica (Journal of IFAC)
Input-state approach to boolean networks
IEEE Transactions on Neural Networks
Realization of Boolean control networks
Automatica (Journal of IFAC)
State-space analysis of Boolean networks
IEEE Transactions on Neural Networks
Brief paper: Controllability of Boolean control networks with time delays in states
Automatica (Journal of IFAC)
Stability analysis of switched systems using variational principles: An introduction
Automatica (Journal of IFAC)
Reachability of a Class of Discrete-Time Positive Switched Systems
SIAM Journal on Control and Optimization
Analysis of Discrete-Time Linear Switched Systems: A Variational Approach
SIAM Journal on Control and Optimization
Observability of Boolean networks: A graph-theoretic approach
Automatica (Journal of IFAC)
Output feedback stabilization control design for Boolean control networks
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
Boolean control networks (BCNs) are recently attracting considerable interest as computational models for genetic and cellular networks. Addressing control-theoretic problems in BCNs may lead to a better understanding of the intrinsic control in biological systems, as well as to developing suitable protocols for manipulating biological systems using exogenous inputs. We introduce two definitions for controllability of a BCN, and show that a necessary and sufficient condition for each form of controllability is that a certain nonnegative matrix is irreducible or primitive, respectively. Our analysis is based on a result that may be of independent interest, namely, a simple algebraic formula for the number of different control sequences that steer a BCN between given initial and final states in a given number of time steps, while avoiding a set of forbidden states.