The structure model is a nonlinear model in nature, and can be composed of a group of uncertain reasoning rules easily. 這種結構模型是一種本質(zhì)非線(xiàn)性模型，可以很容易由一組不確定性推理規則構成。
Nonlinear predictive control is realized by the global linear model based roll optimizing, and ontime adjusting using neural network based nonlinear model of the nonlinear system. 全局線(xiàn)性模型用于滾動(dòng)優(yōu)化，非線(xiàn)性模型用于預測系統輸出和校正線(xiàn)性模型，實(shí)現非線(xiàn)性預測控制。
