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布尔控制网络输出相对于干扰的鲁棒性

The Robustness of Outputs With Respect to Disturbances for Boolean Control Networks.

作者信息

Li Bowen, Liu Yang, Lou Jungang, Lu Jianquan, Cao Jinde

出版信息

IEEE Trans Neural Netw Learn Syst. 2020 Mar;31(3):1046-1051. doi: 10.1109/TNNLS.2019.2910193. Epub 2019 May 1.

Abstract

In this brief, we investigate the robustness of outputs with respect to disturbances for Boolean control networks (BCNs) by semi-tensor product (STP) of matrices. First, BCNs are converted into the corresponding algebraic forms by STP, then two sufficient conditions for the robustness are derived. Moreover, the corresponding permutation system and permutation graph are constructed. It is proven that if there exist controllers such that the outputs of permutation systems are robust with respect to disturbances, then there must also exist controllers such that the outputs of the corresponding original systems achieve robustness with respect to disturbances. One effective method is proposed to construct controllers to achieve robustness. Examples are also provided to illustrate the correctness of the obtained results.

摘要

在本简报中,我们通过矩阵的半张量积(STP)研究布尔控制网络(BCN)输出相对于干扰的鲁棒性。首先,通过STP将BCN转换为相应的代数形式,然后推导了鲁棒性的两个充分条件。此外,构建了相应的置换系统和置换图。证明了如果存在控制器使得置换系统的输出相对于干扰具有鲁棒性,那么必然也存在控制器使得相应原始系统的输出相对于干扰实现鲁棒性。提出了一种构建控制器以实现鲁棒性的有效方法。还提供了示例来说明所得结果的正确性。

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