TY - JOUR
T1 - Stabilization of probabilistic Boolean networks via pinning control strategy
AU - Huang, Chi
AU - Lu, Jianquan
AU - Ho, Daniel W.C.
AU - Zhai, Guisheng
AU - Cao, Jinde
N1 - Funding Information:
This work was jointly supported by the National Science Foundation of China under grants 61603268, 61573102, 61272530 and 61573096, the Fundamental Research Funds for the Central Universities under grant no. JBK190502, the Natural Science Foundation of Jiangsu Province of China under grant no. BK20170019.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2020/2
Y1 - 2020/2
N2 - The stabilization of probabilistic Boolean networks with pinning control is investigated. Only a part of nodes are chosen to be controlled for the aim of high efficiency. Stabilization with probability one and stabilization in probability are respectively discussed. Since the probability of stabilization is not required to be strict one, stabilization in probability is a more practical extension of the former, which is also proven in this work. Stabilization with probability one needs the target state to be transferred to itself with 100% certainty, while stabilization in probability cannot even guarantee the existence of such a possibility. Thus, stabilization in probability is a different and challenging problem. Some necessary and sufficient conditions are proposed for both types of stabilization via the semi-tensor product of matrices. Based on them, approaches to controller design are also developed. Finally, illustrative examples are provided to demonstrate the effectiveness of the derived results.
AB - The stabilization of probabilistic Boolean networks with pinning control is investigated. Only a part of nodes are chosen to be controlled for the aim of high efficiency. Stabilization with probability one and stabilization in probability are respectively discussed. Since the probability of stabilization is not required to be strict one, stabilization in probability is a more practical extension of the former, which is also proven in this work. Stabilization with probability one needs the target state to be transferred to itself with 100% certainty, while stabilization in probability cannot even guarantee the existence of such a possibility. Thus, stabilization in probability is a different and challenging problem. Some necessary and sufficient conditions are proposed for both types of stabilization via the semi-tensor product of matrices. Based on them, approaches to controller design are also developed. Finally, illustrative examples are provided to demonstrate the effectiveness of the derived results.
KW - Pinning control
KW - Probabilistic Boolean network
KW - Stabilization in probability
KW - Stabilization with probability one
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U2 - 10.1016/j.ins.2019.09.029
DO - 10.1016/j.ins.2019.09.029
M3 - Article
AN - SCOPUS:85072524176
SN - 0020-0255
VL - 510
SP - 205
EP - 217
JO - Information Sciences
JF - Information Sciences
ER -