控制理论与应用2011,Vol.28Issue(10):1399-1404,6.
未知多变量非线性系统白适应模糊预测控制
Adaptive fuzzy predictive control for unknown multivariable nonlinear systems
摘要
Abstract
We present a direct adaptive fuzzy predictive control method for a class of unknown multivariable nonlinear systems. In this method, the plant is represented by a predictive model consisting of a linear time-varying submodel and a nonlinear submodel; the vector composed of fuzzy logic systems is used to design the predictive controller directly. The unknown vector in the controller and the unknown matrix in estimates of the generalized error are adjusted based on the time-varying function of dead-zone. It is proved that the proposed method can make the estimates of the generalized error vector converge to a neighborhood of the origin.关键词
未知多变量非线性系统/自适应模糊控制/预测控制/时变死区Key words
unknown multivariable nonlinear systems/adaptive fuzzy control/predictive control/time-varying deadzone分类
信息技术与安全科学引用本文复制引用
师五喜..未知多变量非线性系统白适应模糊预测控制[J].控制理论与应用,2011,28(10):1399-1404,6.基金项目
国家自然科学基金资助项目 ()
天津市自然科学基金资助项目(10JCYBJC07400). ()