文献类型：期刊文献

英文题名：State Estimation via Designing Controller and State Estimation-Based Stabilization for Boolean Control Networks

作者：Chen, Yantao[1]; Yang, Junqi[1]; Li, Zhiqiang[2]; Bu, Xuhui[1]

第一作者：Chen, Yantao

机构：[1] Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China; [2] School of Mathematics and Information Science, Henan University of Economics and Law, Zhengzhou, China

第一机构：Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China

年份：2022

起止页码：1-10

外文期刊名：IEEE Transactions on Cybernetics

收录：EI(收录号：20224813194746)

语种：英文

外文关键词：Biological systems - Controllers - Probabilistic logics - Product design - State estimation

摘要：This article investigates the issues of state estimation and state estimation-based stabilization for Boolean control networks (BCNs). Unlike previous state observers, this article proposes an optimal state estimator by designing a particular input sequence for the first time, where the maximum–minimum method is employed such that the state of BCNs can be uniquely estimated in short time steps. A minimum reconstructible state set (MRSS) is constructed to determine this input sequence. Next, based on the estimated state, a finite-time stabilization scheme is proposed by constructing a switching controller consisting of three stages. A controller is first developed to estimate the state of BCNs in finite-time steps, and a state reachable controller is also provided to make the state of BCNs reachable to a given equilibrium point. Subsequently, a constant controller is further developed to stabilize the state of BCNs to the equilibrium point. Finally, an oxidative stress response model is used to illustrate the effectiveness of the proposed results. IEEE