Function perturbations on singular Boolean networks

Abstract This paper is devoted to studying function perturbations on the transition matrix and topological structure of a singular Boolean network (SBN) via the semi-tensor product of matrices. First, the algebraic form of an SBN is given, and we discuss how the transition matrix of the SBN changes under function perturbations. Then the local uniqueness of solutions to the SBN is studied, under which the impacts of function perturbations on the topological structure are investigated. Finally, examples are given to show the effectiveness of the obtained results.

[1]  Michael Margaliot,et al.  Observability of Boolean networks: A graph-theoretic approach , 2013, Autom..

[2]  Jinde Cao,et al.  On Pinning Controllability of Boolean Control Networks , 2016, IEEE Transactions on Automatic Control.

[3]  Haitao Li,et al.  Function perturbation impact on the topological structure of Boolean networks , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[4]  Min Meng,et al.  Topological structure and the disturbance decoupling problem of singular Boolean networks , 2014 .

[5]  Min Meng,et al.  Controllability and Observability of Singular Boolean Control Networks , 2015, Circuits Syst. Signal Process..

[6]  Michael Margaliot,et al.  On Boolean control networks with maximal topological entropy , 2014, Autom..

[7]  Fangfei Li,et al.  Pinning Control Design for the Stabilization of Boolean Networks , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[8]  Tianguang Chu,et al.  State Feedback Stabilization for Boolean Control Networks , 2013, IEEE Transactions on Automatic Control.

[9]  Daizhan Cheng,et al.  Bi-decomposition of multi-valued logical functions and its applications , 2013, Autom..

[10]  Ettore Fornasini,et al.  On the periodic trajectories of Boolean control networks , 2013, Autom..

[11]  Ulisses Braga-Neto,et al.  Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation , 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

[12]  Jinde Cao,et al.  Synchronization of Arbitrarily Switched Boolean Networks , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[13]  M. Aldana Boolean dynamics of networks with scale-free topology , 2003 .

[14]  Jinde Cao,et al.  Synchronization in an Array of Output-Coupled Boolean Networks With Time Delay , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[15]  Michael Margaliot,et al.  A Maximum Principle for Single-Input Boolean Control Networks , 2011, IEEE Transactions on Automatic Control.

[16]  Min Meng,et al.  Function perturbations in Boolean networks with its application in a D. melanogaster gene network , 2014, Eur. J. Control.

[17]  Hao Zhang,et al.  Synchronization of Asynchronous Switched Boolean Network , 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[18]  Ulisses Braga-Neto,et al.  Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[19]  S. Kauffman Metabolic stability and epigenesis in randomly constructed genetic nets. , 1969, Journal of theoretical biology.

[20]  Edward R. Dougherty,et al.  Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks , 2002, Bioinform..

[21]  P. Pattison,et al.  Statistical Evaluation of Algebraic Constraints for Social Networks. , 2000, Journal of mathematical psychology.

[22]  Yang Liu,et al.  Feedback Controller Design for the Synchronization of Boolean Control Networks , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[23]  Yang Liu,et al.  Controllability of probabilistic Boolean control networks based on transition probability matrices , 2015, Autom..