首页> 外文期刊>Journal of the Franklin Institute >Stabilization and set stabilization of delayed Boolean control networks based on trajectory stabilization
【24h】

Stabilization and set stabilization of delayed Boolean control networks based on trajectory stabilization

机译:基于轨迹稳定的时滞布尔控制网络的稳定和集稳定

获取原文
获取原文并翻译 | 示例
       

摘要

Using the algebraic state space representation method, this paper investigates the stabilization and set stabilization of delayed Boolean control networks (DBCNs). Firstly, the stabilization problem of DBCNs is formulated, which is proved to be equivalent to the trajectory stabilization of DBCNs. Secondly, based on the algebraic form of DBCNs, a necessary and sufficient condition is presented for the trajectory stabilization of DBCNs, which can also solve the stabilization problem. A constructive procedure is proposed for the design of state feedback stabilizers of DBCNs. Thirdly, the set stabilization problem and partial stabilization problem of DBCNs are studied, and several necessary and sufficient conditions are presented. Finally, the obtained results are applied to the strategy consensus of networked evolutionary games with memories. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:利用代数状态空间表示方法,研究了延迟布尔控制网络(DBCN)的镇定和集镇定。首先,提出了DBCNs的稳定问题,证明其等效于DBCNs的轨迹稳定。其次,基于DBCNs的代数形式,提出了DBCNs轨迹稳定的充要条件,也可以解决稳定问题。为DBCN的状态反馈稳定器的设计提出了一个建设性的程序。第三,研究了DBCNs的集镇定问题和局部镇定问题,并提出了几个必要和充分的条件。最后,将所得结果应用于带记忆的网络进化游戏的策略共识。 (C)2017富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

著录项

  • 来源
    《Journal of the Franklin Institute》 |2017年第17期|7812-7827|共16页
  • 作者单位

    Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China;

    Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China;

    Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China;

    Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:57:40

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号