Akutsu, T., Hayashida, M., Ching, W. K., and Ng, M. K. (2007). Control of Boolean networks: hardness results and algorithms for tree structured networks. Journal of Theoretical Biology, 244(4):670.
Biane, C. and Delaplace, F. (2017). Abduction based drug target discovery using Boolean control network. In Proceedings of the 15th International Conference on Computational Methods in Systems Biology (CMSB), volume 10545 of Lecture Notes in Computer Science, pages 57–73. Springer-Verlag.
Cheng, D. and Qi, H. (2009). Controllability and ob- servability of Boolean control networks. Automatica, 45(7):1659–1667.
Cheng, D., Qi, H., and Li, Z. (2011). Identification of Boolean control networks. Automatica, 47(4):702– 710.
Fornasini, E. and Valcher, M. E. (2013). Observability, reconstructibility and state observers of Boolean control networks. IEEE Transactions on Automatic Control, 58(6):1390–1401.
Ideker, T., Galitski, T., and Hood, L. (2001). A new approach to decoding life: systems biology. Annual Review of Genomics and Human Genetics, 2(1):343– 372.
Jacob, F. and Monod, J. (1961). Genetic regulatory mechanisms in the synthesis of proteins. Journal of Molecular Biology, 3(3):318–356.
Kauffman, S. A. (1968). Metabolic stability and epigene-sis in randomly constructed genetic nets. Journal of Theoretical Biology, 22(3):437–467.
Kaufman, M., Andris, F., and Leo, O. (1999). A logical analysis of t cell activation and anergy. Proceedings of the National Academy of Sciences, 96(7):3894–3899.
Klamt, S., Saez-Rodriguez, J., Lindquist, J. A., Simeoni, L., and Gilles, E. D. (2006). A methodology for the structural and functional analysis of signaling and regulatory networks. BMC Bioinformatics, 7(1):56.
Mandon, H., Su, C., Haar, S., Pang, J., and Paulevé, L. (2019). Sequential reprogramming of Boolean networks made practical. In Proceedings of the 17th International Conference on Computational Methods in Systems Biology (CMSB), volume 11773 of Lecture Notes in Computer Science, pages 3–19. Springer-Verlag.
Su, C., Paul, S., and Pang, J. (2019). Controlling large Boolean networks with temporary and permanent perturbations. In Proceedings of the 23rd International Symposium on Formal Methods (FM), volume 11800 of Lecture Notes in Computer Science, pages 707– 724. Springer-Verlag.
Wu, G., Dai, L., Liu, Z., Chen, T., and Pang, J. (2020). Online observability of Boolean control networks. In Proceedings of the 21st World Congress of the International Federation of Automatic Control, volume 53 of IFAC-Papers On Line, pages 1057–1064. IFAC.
Zhang, K., Zhang, L., and Rong, S. (2015a). A weighted pair graph representation for reconstructibility of Boolean control networks. SIAM Journal on Control and Optimization, 54(6).
Zhang, K., Zhang, L., and R.Su (2015b). A weighted pair graph representation for reconstructibility of boolean control networks. SIAM Journal on Control and Optimization, 54.
Zhang, K., Zhang, L., and Xie, L. (2020a). Detectability of Boolean Control Networks, pages 105–115. Springer-Verlag.
Zhang, K., Zhang, L., and Xie, L. (2020b). Observability of Boolean Control Networks, pages 87–104. Springer-Verlag.
Zhao, Y., Qi, H., and Cheng, D. (2010). Input-state incidence matrix of Boolean control networks and its ap-plications. Systems & Control Letters, 59(12):767– 774.
Zhu, S., Lu, J., Lin, L., and Liu, Y. (2022). Minimum-time and minimum-triggering observability of stochastic Boolean networks. IEEE Transactions on Automatic Control, 67(3):1558–1565.
Zhu, S., Lu, J., Zhong, J., Liu, Y., and Cao, J. (2021). On the sensors construction of large Boolean networks via pinning observability. IEEE Transactions on Automatic Control, pages 1–1.
