A Real-time Optimization Grey Prediction Method For Delay Estimation in NCS

The network-induced delay is the critical issues of NCS design. In this paper, the novel real-time optimization grey prediction method, based on the research of grey theory and optimization theory is proposed for modeling the network-induced delay. It needn´t know statistical characteristic. By using AGO to smooth the original data sequence, the random characteristic of the original sequences can be reduced. The corresponding theoretical analysis methods and mathematic description are given. Taking the campus-net delay as an example, the simulation of corresponding NCS is implemented. The simulation results demonstrate that the optimization grey prediction method to model network delay is effective.