Pickard Joshua, Stansbury Cooper, Surana Amit, Rajapakse Indika, Bloch Anthony
Department of Computational Medicine & Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI 48109 USA.
RTX Technology Research Center, East Hartford, CT 06108 USA.
IFAC Pap OnLine. 2024;58(6):321-326. doi: 10.1016/j.ifacol.2024.08.301. Epub 2024 Sep 25.
In this paper we consider aspects of geometric observability for hypergraphs, extending our earlier work from the uniform to the nonuniform case. Hypergraphs, a generalization of graphs, allow hyperedges to connect multiple nodes and unambiguously represent multi-way relationships which are ubiquitous in many real-world networks including those that arise in biology. We consider polynomial dynamical systems with linear outputs defined according to hypergraph structure, and we propose methods to evaluate local, weak observability.
在本文中,我们考虑超图的几何可观性方面,将我们早期的工作从均匀情况扩展到非均匀情况。超图是图的一种推广,它允许超边连接多个节点,并能明确表示多向关系,这种关系在许多现实世界的网络中普遍存在,包括生物学中出现的网络。我们考虑根据超图结构定义线性输出的多项式动力系统,并提出评估局部弱可观性的方法。