School of Control Science and Engineering, Shandong University, Jinan 250061, PR China.
Neural Netw. 2013 Oct;46:183-9. doi: 10.1016/j.neunet.2013.05.012. Epub 2013 Jun 3.
This paper investigates the consistent stabilizability of switched Boolean networks (SBNs) by using the semi-tensor product method, and presents a number of new results. First, an algebraic expression of SBNs is obtained by the semi-tensor product, based on which the consistent stabilizability is then studied for SBNs and some necessary and sufficient conditions are presented for the design of free-form and state-feedback switching signals, respectively. Finally, the consistent stabilizability of SBNs with state constraints is considered and some necessary and sufficient conditions are proposed. The study of illustrative examples shows that the new results obtained in this paper are very effective in designing switching signals for the consistent stabilizability of SBNs.
本文利用张量积方法研究切换布尔网络(SBN)的一致稳定性,并提出了一些新的结果。首先,通过张量积得到 SBN 的代数表达式,在此基础上研究了 SBN 的一致稳定性,并分别给出了自由形式和状态反馈切换信号设计的充分必要条件。最后,考虑了具有状态约束的 SBN 的一致稳定性,并提出了一些充分必要条件。通过实例研究表明,本文提出的新结果在设计 SBN 一致稳定性的切换信号方面非常有效。