Pinning Controllers for Activation Output Tracking of Boolean Network Under One-Bit Perturbation

This paper studies pinning controllers for activation output tracking (AOT) of Boolean network under one-bit perturbation, based on the semitensor product of matrices. First, the definition of AOT with respect to an activation number is presented, where the activation number means the number of active outputs whose logical variables are 1 s. Then, several criteria are established for AOT issue. Further, the impact of one-bit perturbation on AOT is studied, where one-bit perturbation means that only one logical function has one-bit change of its truth table by flipping the value from 1 to 0 or 0 to 1. In addition, if a one-bit perturbation is a valid perturbation on AOT, an output feedback pinning control is designed to recover AOT. The obtained results are effectively illustrated by a D. melanogaster segmentation polarity gene network and a reduced signal transduction network.

[1]  Carlos Gershenson,et al.  The Role of Redundancy in the Robustness of Random Boolean Networks , 2005, ArXiv.

[2]  Yuzhen Wang,et al.  Further results on feedback stabilization control design of Boolean control networks , 2017, Autom..

[3]  B Sollner-Webb,et al.  Metazoan rDNA enhancer acts by making more genes transcriptionally active , 1996, The Journal of cell biology.

[4]  Fangfei Li,et al.  Single-Input Pinning Controller Design for Reachability of Boolean Networks , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[5]  S. Huang,et al.  Shape-dependent control of cell growth, differentiation, and apoptosis: switching between attractors in cell regulatory networks. , 2000, Experimental cell research.

[6]  Tielong Shen,et al.  Logical control scheme with real-time statistical learning for residual gas fraction in IC engines , 2017, Science China Information Sciences.

[7]  Yang Liu,et al.  Event-Triggered Control for the Disturbance Decoupling Problem of Boolean Control Networks , 2018, IEEE Transactions on Cybernetics.

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

[9]  Tingwen Huang,et al.  Controllability and Synchronization Analysis of Identical-Hierarchy Mixed-Valued Logical Control Networks , 2017, IEEE Transactions on Cybernetics.

[10]  I. Albert,et al.  Attractor analysis of asynchronous Boolean models of signal transduction networks. , 2010, Journal of theoretical biology.

[11]  Yuzhen Wang,et al.  Lyapunov-Based Stability and Construction of Lyapunov Functions for Boolean Networks , 2017, SIAM J. Control. Optim..

[12]  Jinde Cao,et al.  Function perturbations on singular Boolean networks , 2017, Autom..

[13]  Tielong Shen,et al.  Policy Iteration Approach to Control Residual Gas Fraction in IC Engines Under the Framework of Stochastic Logical Dynamics , 2017, IEEE Transactions on Control Systems Technology.

[14]  Tom Moss,et al.  UBF levels determine the number of active ribosomal RNA genes in mammals , 2008, The Journal of cell biology.

[15]  Xin Liu,et al.  Dynamical and Structural Analysis of a T Cell Survival Network Identifies Novel Candidate Therapeutic Targets for Large Granular Lymphocyte Leukemia , 2011, PLoS Comput. Biol..

[16]  Koichi Kobayashi,et al.  Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities , 2017, IEEE Transactions on Neural Networks and Learning Systems.

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

[18]  B. Vogelstein,et al.  Participation of p53 protein in the cellular response to DNA damage. , 1991, Cancer research.

[19]  Edward R. Dougherty,et al.  The impact of function perturbations in Boolean networks , 2007, Bioinform..

[20]  Daniel W. C. Ho,et al.  Global robust stability and stabilization of Boolean network with disturbances , 2017, Autom..

[21]  Jinde Cao,et al.  On Controllability of Delayed Boolean Control Networks , 2016, SIAM J. Control. Optim..

[22]  Kurt A. Richardson,et al.  Simplifying Boolean Networks , 2005, Adv. Complex Syst..

[23]  Lihua Xie,et al.  Output tracking control of Boolean control networks via state feedback: Constant reference signal case , 2015, Autom..

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

[25]  Daizhan Cheng,et al.  A Linear Representation of Dynamics of Boolean Networks , 2010, IEEE Transactions on Automatic Control.

[26]  Guoqiang Hu,et al.  Distributed Robust Fusion Estimation With Application to State Monitoring Systems , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[27]  Mingxin Kang,et al.  Logical control approach to fuel efficiency optimization for commuting vehicles , 2017, International Journal of Automotive Technology.

[28]  Jinde Cao,et al.  Pinning Control for the Disturbance Decoupling Problem of Boolean Networks , 2017, IEEE Transactions on Automatic Control.

[29]  Daniel W. C. Ho,et al.  Clustered Event-Triggered Consensus Analysis: An Impulsive Framework , 2016, IEEE Transactions on Industrial Electronics.

[30]  Yang Liu,et al.  Nonsingularity of Grain-like cascade FSRs via semi-tensor product , 2017, Science China Information Sciences.

[31]  Tielong Shen,et al.  Policy Iteration Algorithm for Optimal Control of Stochastic Logical Dynamical Systems , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[32]  Yang Liu,et al.  The equivalence issue of two kinds of controllers in Boolean control networks , 2018, Appl. Math. Comput..

[33]  James Lam,et al.  Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[34]  Alan Veliz-Cuba,et al.  Identification of control targets in Boolean molecular network models via computational algebra , 2015, BMC Systems Biology.

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

[36]  M. Ng,et al.  Control of Boolean networks: hardness results and algorithms for tree structured networks. , 2007, Journal of theoretical biology.

[37]  Edward R. Dougherty,et al.  Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention , 2008, IEEE Transactions on Signal Processing.

[38]  K Matsubara,et al.  Expression profile of active genes in granulocytes. , 1998, Blood.

[39]  Fangfei Li,et al.  Pinning Control Design for the Synchronization of Two Coupled Boolean Networks , 2016, IEEE Transactions on Circuits and Systems II: Express Briefs.

[40]  Hongwei Chen,et al.  Partial Synchronization of Interconnected Boolean Networks , 2017, IEEE Transactions on Cybernetics.

[41]  E. Dougherty,et al.  Gene perturbation and intervention in probabilistic Boolean networks. , 2002, Bioinformatics.

[42]  Tielong Shen,et al.  A Finite Convergence Criterion for the Discounted Optimal Control of Stochastic Logical Networks , 2018, IEEE Transactions on Automatic Control.

[43]  Ettore Fornasini,et al.  Fault Detection Analysis of Boolean Control Networks , 2015, IEEE Transactions on Automatic Control.

[44]  M. Margaliot Controllability and observability of Boolean control networks , 2012 .

[45]  Kwang-Hyun Cho,et al.  Attractor Landscape Analysis Reveals Feedback Loops in the p53 Network That Control the Cellular Response to DNA Damage , 2012, Science Signaling.

[46]  Daizhan Cheng,et al.  Analysis and Control of Boolean Networks , 2011 .

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

[48]  Yang Liu,et al.  Survey on semi-tensor product method with its applications in logical networks and other finite-valued systems , 2017 .