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您的检索式：作者名="ZHOU Rongpei"
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| 1 | Stabilization of Boolean control networks with state-triggered impulses显示文摘Previously, impulses were used to model abrupt changes in dynamic biological systems. This paper introduces a hybrid-index model that can characterize instantaneity of the impulsive behavior more effectively, compared with the existing impulsive Boolean network models. Using the hybrid-index model,we investigate the set stabilization of Boolean control networks with state-triggered impulses in the hybriddomain and the time-domain. We establish necessary and sufficient conditions for set stabilizability in the hybrid and time domains, using the methods of k-domain and quotient mapping, respectively. Further, we obtain algorithms for constructing all hybrid-optimal and time-optimal set stabilizers by partitioning the state space into layers. The relationships between different set stabilizabilities are summarized. In addition,we have shared two examples to demonstrate the main results. | Rongpei ZHOU Yuqian GUO Xinzhi LIU Weihua GUI | 2022 | Science China(Information Sciences)2022，65，3： | 1 |
| 2 | Finite-Time Observability of Probabilistic Logical Control Systems显示文摘This study investigates finite-time observability of probabilistic logical control systems(PLCSs)under three definitions(i.e.,finite-time observability with probability one,finite-time singleinput sequence observability with probability one,and finite-time arbitrary-input observability with probability one).The authors adopt a parallel extension technique to recast the finite-time observability problem of a PLCS as a finite-time set reachability problem.Then,the finite-time set reachability problem can be transferred to stabilization problem of a logic dynamical system by using the state transfer graph reconstruction method.Necessary and sufficient conditions for finite-time observability under the three definitions are derived respectively.Finally,the proposed methods are illustrated by numerical examples. | ZHOU Rongpei GUO Yuqian LIU Xinzhi GUI Weihua | 2023 | Journal of Systems Science & Complexity2023，36，5： | 0 |
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