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复杂系统与复杂性科学  2026, Vol. 23 Issue (1): 146-152    DOI: 10.13306/j.1672-3813.2026.01.018
  研究前沿 本期目录 | 过刊浏览 | 高级检索 |
基于控制输入和状态翻转的布尔控制网络状态估计
邢谦, 杨俊起, 王尚坤
河南理工大学 a.电气与自动化工程学院;b.河南省煤矿装备智能检测与控制重点实验室, 河南 焦作 454003
State Estimation of Boolean Control Networks Based on Control Inputs and State-flipped
XING Qian, YANG Junqi, WANG Shangkun
a. School of Electrical Engineering and Automation; b. Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, Henan Polytechnic University, Jiaozuo 454003, China
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摘要 为了解决布尔控制网络的状态估计问题,运用控制输入,将布尔控制网络转化为布尔网络。进而基于控制输入和输出研究布尔控制网络状态估计问题,输出依赖状态估计集元素不唯一时,引入状态翻转控制,并提出实现到达目标状态的充分条件。设计联合控制对序列求解算法,将输出依赖状态估计状态集中的所有状态同时翻转到目标状态,实现对布尔控制网络的状态估计。实例证明:该研究方法能够实现布尔控制网络的状态估计。
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Abstract:In order to solve the state estimation problem of Boolean control networks, control inputs and state-flipped control are used in this paper. First, relying on the control inputs, the Boolean control network is transformed into a Boolean network, and then the state estimation problem of Boolean control network is studied based on the control inputs and outputs. Second, the state-flipped control is introduced to the system when the elements of the set of output-dependent state estimation are not unique, and a sufficient condition is proposed to realize the reachability of the target state. Third, all states in the output-dependent state estimation set are simultaneously flipped to the target state by designing an algorithm to calculate the joint control pair sequences, and further the state estimation of the Boolean control network is realized. Finally, it is shown through examples that the research method enables state estimation of Boolean control networks.
收稿日期: 2024-01-09      出版日期: 2026-02-13
:  TP273  
  TP31  
基金资助:河南省自然科学基金(232300420147)
通讯作者: 杨俊起(1979-),男,河南濮阳人,博士,教授,主要研究方向为逻辑动态系统,观测器设计。   
作者简介: 邢 谦(1994-),男,河南南阳人,硕士研究生,主要研究方向为布尔控制网络的状态估计。
引用本文:   
邢谦, 杨俊起, 王尚坤. 基于控制输入和状态翻转的布尔控制网络状态估计[J]. 复杂系统与复杂性科学, 2026, 23(1): 146-152.
XING Qian, YANG Junqi, WANG Shangkun. State Estimation of Boolean Control Networks Based on Control Inputs and State-flipped[J]. Complex Systems and Complexity Science, 2026, 23(1): 146-152.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2026.01.018      或      https://fzkx.qdu.edu.cn/CN/Y2026/V23/I1/146
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