Abstract
This paper investigates the controllability and reachability of periodically time-variant mixed-valued logical control networks (PTMLCNs). The PTMLCN considered in this paper consists of several mixed-valued logical control networks with periodically switching signals, which circulates among different mixed-valued logical control networks. First, a PTMLCN is transformed into a discrete dynamic system by the semi-tensor product. Based on this algebraic expression, the time-dependent input-state incident matrix and the time-dependent state transition matrix are defined and the relationship between these two matrices is given. Secondly, the controllability and reachability of PTMLCNs are defined. Subsequently, by virtue of the proposed matrices, a series of necessary and sufficient conditions are given for checking controllability and reachability, and the algorithm for finding the optimal control sequence to reach the target state in the shortest time is designed. Finally, the effectiveness of the proposed method is verified by an example.
Similar content being viewed by others
Data Availability Statement
The authors declare that the data supporting the findings of this study are available within the article.
References
B. Chen, J. Cao, G. Lu, L. Rutkowski, Lyapunov function for the set stability and the synchronization of Boolean control networks. IEEE T. Circults-II (2019). https://doi.org/10.1109/TCSII.2019.2952415
D. Cheng, H. Qi, Controllability and observability of Boolean control networks. Automatica 45(7), 1659–1667 (2009)
D. Cheng, H. Qi, Z. Li, J. Liu, Stability and stabilization of Boolean networks. Int. J. Robust Nonlinear Control 21(2), 134–156 (2011)
D. Cheng, Y. Zhao, Identification of Boolean control networks. Automatica 47(4), 702–710 (2011)
D. Cheng, Y. Zhao, X. Xu, Mixed-valued logic and its applications. J. Shandong Univ. 46(10), 32–44 (2011)
E. Fornasini, M. Valcher, Optimal control of Boolean control networks. IEEE Trans. Autom. Control 59(5), 1258–1270 (2014)
J. Hu, G. Sui, X. Lv, X. Li, Fixed-time control of delayed neural networks with impulsive perturbations. Nonlinear Anal. Model Control 23(6), 904–920 (2018)
S. Kauffman, Metabolic stability and epigenesis in randomly constructed genetic nets. J. Theor. Biol. 22(3), 437–467 (1969)
F. Li, J. Sun, Controllability of higher order Boolean control networks. Appl. Math. Comput. 219(1), 158–169 (2012)
F. Li, L. Xie, Set stabilization of probabilistic Boolean networks Using Pinning Control. IEEE Trans. Neur. Net. Learn. 30(8), 2555–2561 (2019)
H. Li, X. Ding, A control Lyapunov function approach to feedback stabilization of logical control networks. SIAM J. Control Optim. 57(2), 810–831 (2019)
H. Li, Y. Wang, On reachability and controllability of switched Boolean control networks. Automatica 48(11), 2917–2922 (2012)
H. Li, Y. Zheng, F. Alsaadi, Algebraic formulation and topological structure of Boolean networks with state-dependent delay. J. Comput. Appl. Math. 350, 87–97 (2019)
R. Li, T. Chu, Complete synchronization of Boolean networks. IEEE Trans. Neural Netw. Learn. Syst. 23(5), 840–846 (2012)
R. Li, M. Yang, T. Chu, State feedback stabilization for Boolean control networks. IEEE Trans. Autom. Control 58(7), 1853–1857 (2013)
Y. Li, H. Li, X. Ding, Set stability of switched delayed logical networks with application to finite-field consensus. Automatica 113, 108768 (2020)
Z. Li, D. Cheng, Algebraic approach to dynamics of multivalued networks. Int. J. Bifurcation Chaos 20(3), 561–582 (2010)
Y. Liu, L. Sun, J. Lu, J. Liang, Feedback controller design for the synchronization of Boolean control networks. IEEE Trans. Neural Netw. Learn. Syst. 27(9), 1991–1996 (2016)
J. Lu, L. Sun, Y. Liu, D. Ho, J. Cao, Stabilization of Boolean control networks under aperiodic sampled-data control. SIAM J. Control Optim. 56(6), 4385–4404 (2018)
J. Pan, J. Feng, M. Meng, Steady-state analysis of probabilistic Boolean networks. J. Frankl. Inst. 356(5), 2994–3009 (2019)
H. Qi, D. Cheng, Analysis and control of Boolean networks: a semi-tensor product approach. Zidonghua Xuebao/acta Automatica Sinica 37(5), 529–540 (2011)
B. Ristevski, A survey of models for inference of gene regulatory networks. Nonlinear Anal. Model Control 18(4), 444–465 (2013)
I. Shmulevich, E. Dougherty, S. Kim, W. Zhang, Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. Bioinformatics 18(2), 261–274 (2002)
B. Wang, J. Feng, Controllability of periodically time-variant Boolean control networks and its application in a class of apoptosis network. J. Syst. Sci. Math. Sci. 36(7), 973–985 (2016)
B. Wang, J. Feng, On detectability of probabilistic Boolean networks. Inf. Sci. 483, 383–395 (2019)
B. Wang, J. Feng, H. Li, On detectability of Boolean control networks. Nonlinear Anal. Hybrid Syst. 36, 100859 (2020)
X. Xu, Y. Liu, H. Li, F. Alsaadi, Robust set stabilization of Boolean control networks with impulsive effects. Nonlinear Anal. Model Control 23(4), 553–567 (2018)
D. Yang, X. Li, J. Qiu, Output tracking control of delayed switched systems via state-dependent switching and dynamic output feedback. Nonlinear Anal. Hybrid Syst. 32, 294–305 (2019)
D. Yang, X. Li, J. Shen, Z. Zhou, State-dependent switching control of delayed switched systems with stable and unstable modes. Math. Meth. Appl. Sci. 41(6), 6968–6983 (2018)
Y. Yu, M. Meng, J. Feng, Observability of Boolean networks via matrix equations. Automatica 111, 108621 (2019)
Y. Yu, M. Meng, J. Feng, P. Wang, Stabilizability analysis and switching signals design of switched Boolean networks. Nonlinear Anal. Hybrid Syst. 30, 31–44 (2018)
L. Zhang, J. Feng, Model-input-state matrix of switched Boolean control networks and its applications. in Proceedings of the 10th World Congress on Intelligent Control and Automation, July 6–8 (Beijing, China, 2012). p. 1477–1482
L. Zhang, J. Feng, J. Yao, Controllability and observability of switched Boolean control networks. IET Contr. Theory Appl. 6(16), 2477–2484 (2012)
Q. Zhang, J. Feng, J. Pan, J. Xia, Set controllability for switched Boolean control networks. Neurocomputing 359(24), 476–482 (2019)
Y. Zhao, D. Cheng, Optimal control of mix-valued logical control networks, in Proceedings of the 29th Chinese Control Conference, July 29–31 (China, Beijing, 2010), pp. 1618–1623
Y. Zhao, D. Cheng, Controllability and Stabilizability of Probabilistic Logical Control Networks, in Decision and Control, December 10–13 (HI, Maui, 2012), pp. 6729–6734
Y. Zhao, Z. Li, D. Cheng, Optimal control of logical control networks. IEEE Trans. Autom. Control 56(8), 1766–1776 (2011)
Y. Zhao, H. Qi, D. Cheng, Input-state incidence matrix of Boolean control networks and its applications. Syst. Control Lett. 59(12), 767–774 (2010)
R. Zhou, Y. Guo, W. Gui, Set reachability and observability of probabilistic Boolean networks. Automatica 106, 230–241 (2019)
S. Zhu, J. Lu, Y. Liu, Asymptotical stability of probabilistic Boolean networks with state delays. IEEE T. Automat. Contr. 65(4), 1779–1784 (2020)
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This work was supported by the National Natural Science Foundation of China (61773371, 61877036, 61773238), and the Natural Science Foundation of Shandong Province (ZR2019MF002).
Rights and permissions
About this article
Cite this article
Li, Y., Feng, Je. & Zhu, S. Controllability and Reachability of Periodically Time-Variant Mixed-Valued Logical Control Networks. Circuits Syst Signal Process 40, 3639–3654 (2021). https://doi.org/10.1007/s00034-021-01648-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-021-01648-2