A cyber-physical system-oriented network reconfiguration method and system

Abstract

The invention discloses a network reconstruction method and system oriented to a cyber-physical system. The PC algorithm is used to initially construct the causal relationship of each node in the network, and the MCI algorithm is combined to screen the reconstructed connection edges in the PC algorithm, thereby Improve the authenticity and reliability of the reconstructed network.

Description

technical field [0001] The invention belongs to the technical field of network analysis and reconstruction, and relates to a network inference and reconstruction method oriented to information physical systems. Background technique [0002] Cyber ​​physical systems (CPS) are next-generation intelligent systems that integrate computing, communication and control. Because the system interacts with physical processes through the human-computer interaction interface, people can use the networked space to remotely control various physical entities in the system in real time, safely and reliably. CPS can usually be composed of three subsystems: autonomous data acquisition and diagnosis system - for the self-control of physical entities, global information interaction experiment system - for the development of human-computer interaction interfaces, and intelligent logic analysis system - for physical entities and Analysis of data networks between human-computer interaction interfa...

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Problems solved by technology

The correlation method proposed by Mantegna can use the Pearson correlation coefficient to construct a spanning tree structure between variables according to the relationship between variables, so as to divide and reorganize the variable structure, but this method can only construct an undirected graph structure, so it cannot Infer the causality between network nodes; Granger proposed a Granger causality test method in order to reconstruct the causal network, using the statistical significance of "the sequence of two events" for causal inference, but this method It can be used in linear systems, but cannot analyze the nonlinear relationships that are common in practical systems; the convergent cross-mapping method proposed by Sugihara solves the problem of network reconstruction in nonlinear systems well, but for high-dimensional (the number of network nodes is relatively large) Many) reconstruction problems require a large amount of calculation, and the solution efficiency needs to be improved

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