Lin Lin, Cao Jinde, Rutkowski Leszek
IEEE Trans Neural Netw Learn Syst. 2020 Mar;31(3):1060-1065. doi: 10.1109/TNNLS.2019.2917753. Epub 2019 Jun 12.
In this brief, the robust control invariance problem of probabilistic Boolean control networks (PBCNs) is investigated by a class of event-triggered control (ETC), which is an intermittent control scheme in essential. By resorting to the semi-tensor product (STP) technique, a PBCN with ETC can be equivalently described in a form of an algebraic linear system. Based on which, a matrix testing condition is derived to judge whether the given set can be a robust ETC invariant set (RETCIS). Subsequently, a necessary and sufficient condition is developed for the existence of event-triggered controllers. Meanwhile, all feasible event-triggered controllers are designed for guaranteeing the given set to be an RETCIS. Finally, a biological example is employed to demonstrate the availability of theoretical results.
在本简报中,通过一类事件触发控制(ETC)研究概率布尔控制网络(PBCN)的鲁棒控制不变性问题,本质上这是一种间歇控制方案。借助半张量积(STP)技术,具有ETC的PBCN可以等效地描述为代数线性系统的形式。基于此,推导了一个矩阵测试条件来判断给定集合是否可以是鲁棒ETC不变集(RETCIS)。随后,给出了事件触发控制器存在的充要条件。同时,设计了所有可行的事件触发控制器以保证给定集合是一个RETCIS。最后,通过一个生物学例子来证明理论结果的有效性。