摘要：Food security is a strategic cornerstone of national security, and the food safety storage is a recognized problem. Accurate representation of grain storage environment is a fundamental premise for secure storage, which is very difficult because of the complex linkage relation between stored grain and grain storage environment. The characteristics between grain and environment, such as large time lag, two-way coupling, nonlinear, time-varying, make analysis and modeling face more difficulties and challenges. Based on this, combining PLS and TS fuzzy model, a modeling method of dynamic nonlinear multi- input multi-output (MIMO) system is proposed in this paper, which effectively solves the problem of strong nonlinear and correlation, at the same time reduces the computational complexity of data modeling methods. The simulation results show that this modeling could effectively describe the relationship between storage grain and environment.
关键词：food security; storage environment; PLS; TS fuzzy model
