基于神经网络的非线性Smith预估器(英文)  

Neural Network Based on Nonlinear Smith Predictor

作　　者：谭永红[1] 范.高温伯格 

机构地区：[1]桂林电子工业学院智能系统与工业控制研究室,广西桂林541204 [2]比利时根特大学控制工程与自动化系

出　　处：《控制理论与应用》2000年第3期410-414,共5页Control Theory & Applications

基　　金：Foundationitem :partiallysupportedbytheResearchFoundationgrantedbytheGuilinInstituteofElectronicTechnology theMinistry of Educat

摘　　要：将Smith预估原理推广到非线性系统 ,并用神经网络予以实现以对非线性大滞后系统进行纯滞后补偿 .并将所提出的神经网络非线性Smith预估器用于非线性动态系统即汽车发动机歧气管压力系统的预报 ,并与基于神经网络的迭代及非迭代d步超前预报器进行了比较 .An extension of the Smith predictor principle to the nonlinear case is proposed. This nonlinear predictor can be constructed using neural networks. This is very useful for the time delay compensation of nonlinear processes. The neural network based predictor has been applied to the prediction of nonlinear dynamic process. A comparison of the proposed strategy with the iterative and non iterative \%d\% step ahead neural predictors for the prediction of the manifold pressure process in an automotive engine is illustrated. The predictive result of the corresponding first principles model based nonlinear predictor is also illustrated for the comparison.

关 键 词：神经网络 SMITH预估器 非线性系统 汽车发动机 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]