Biao Wang

Dr. Biao Wang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2019 in Information Sciences
Verified
Journal Article
Closed access
BWBiao Wang
Biao Wang
JFJune Feng
June Feng

1 May 2020 in Nonlinear Analysis: Hybrid Systems
Verified
Journal Article
Closed access
BWBiao Wang
Biao Wang
JFJune Feng
June Feng
Haitao LiHaitao Li
Haitao Li
YYYongyuan Yu
Yongyuan Yu

1 August 2018 in Journal of the Franklin Institute
Verified
Journal Article
Closed access
YYYongyuan Yu
Yongyuan Yu
JFJune Feng
June Feng
BWBiao Wang
Biao Wang
PWPeihe Wang
Peihe Wang

1 April 2020 in Fuzzy Sets and Systems
Verified
Journal Article
Closed access
HFHongbiao Fan
Hongbiao Fan
JFJune Feng
June Feng
MMMin Meng
Min Meng
BWBiao Wang
Biao Wang

24 March 2022 in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Verified
Journal Article
Closed access
YJYingzhe Jia
Yingzhe Jia
BWBiao Wang
Biao Wang
JFJune Feng
June Feng
DCDaizhan Cheng
Daizhan Cheng
In this article, the set stabilization problem of Boolean control networks (BCNs) using output-feedback controllers is investigated comprehensively. First, a novel method for stabilizing BCNs, namely, the state dynamics matrix-based method, is proposed. Then, based on the above method, the time-invariant output-feedback (TIOF) and the time-variant output-feedback (TVOF) laws are derived. The necessary and sufficient conditions of both TIOF and TVOF stabilization of BCNs are also given. In addition, corresponding algorithms are provided such that all possible TIOF stabilizers and TVOF stabilizers for given BCNs can be designed. Finally, some illustrative examples are demonstrated, where the results are discussed and the effectiveness of the presented method is validated.

29 September 2022 in IEEE Transactions on Control of Network Systems
Verified
Journal Article
Closed access
TMTiantian Mu
Tiantian Mu
JFJune Feng
June Feng
BWBiao Wang
Biao Wang
SZShuqian Zhu
Shuqian Zhu
This article investigates the delay synchronization of drive Boolean network (DBN) and response BN (RBN) [response Boolean control network (RBCN)]. Synchronization and time delay are two common phenomena in real life. In aircraft formation, the latter's trajectory is consistent with the former's, but there exists a time gap when they arrive at the same position, which illustrates that time delay can happen in the process of synchronization. According to the delay step depending on initial states or not, two types of delay synchronization are proposed: 1) weak and 2) strong delay synchronization. Compared with synchronization, delay synchronization is only the theoretical generalization and has different application fields. Using the results of limit sets, several criteria for delay synchronization of the DBN and RBN are derived. This article provides an important result that delay synchronization of the DBN and RBCN can be equivalent to set stabilization of the augmented BCN, then the necessary and sufficient conditions are obtained. Moreover, two algorithms are established to design all time-optimal state feedback controllers. Finally, two examples are shown to demonstrate the effectiveness of the results.