%0 Journal Article %T Design and Analysis of the Domain of Attraction for Generalized Predictive Control with Input Nonlinearity
输入非线性广义预测控制系统的吸引域分析与设计 %A DING Bao-Cang %A XI Yu-Geng %A
丁宝苍 %A 席裕庚 %J 自动化学报 %D 2004 %I %X For systems with input nonlinearities,including input saturation and Hammer-stein nonlinearity,the Two Step Generalized Predictive Control(TSGPC)scheme is adopted.Firstly,the input nonlinearities are not considered and linear GPC is applied to obtain thedesired intermediate variable.Then,the Hammerstein nonlinearity is dealt with by solvingequation and the saturation constraint is satisfied by desaturation.This paper transformsTSGPC into state space representation,and studies its domain of attraction.It transformsthe solving of the domain of attraction into an iterative optimization problem and givesalgorithm for this solution.It also gives the tuning algorithm for achieving desired domainof attraction.The theoretical result is validated by simulation. %K Input nonlinearity %K predictive control %K invariant set %K domain of attraction
输入非线性 %K 预测控制 %K 不变集 %K 吸引域 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=729A7DE3529A9E42&yid=D0E58B75BFD8E51C&vid=340AC2BF8E7AB4FD&iid=B31275AF3241DB2D&sid=F5956B5D26BCB2A8&eid=40700C9CB4E84E3B&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=7