未知参数多变量线性系统自适应模糊广义预测控制  

Adaptive fuzzy generalized predictive control for unknown parameters multivariable linear systems

作　　者：师五喜[1] 

机构地区：[1]天津工业大学计算机技术与自动化学院,天津300160

出　　处：《控制与决策》2009年第2期313-316,320,共5页Control and Decision

基　　金：天津市高等学校科技发展基金项目(20051206)

摘　　要：对未知参数多变量线性系统提出了自适应模糊广义预测控制方法.该方法直接用模糊逻辑系统组成的向量设计广义预测控制器,并基于广义误差向量估计值对控制器中的未知向量和广义误差估计值中的未知矩阵进行自适应调整.该方法不但能保证闭环系统所有信号有界,而且可使广义误差向量收敛到原点的一个邻域内.An adaptive fuzzy generalized predictive control scheme for multivariable linear systems with unknown parameters is presented. With this scheme, the vector composed of fuzzy logic systems is used to design generalized predictive controller directly, and the unknown vector in controller and the unknown matrix in the estimation of generalized error are adjusted based on the estimation of generalized error vector adaptively. It is proved that the proposed scheme can not only guarantee boundedness of all signals in the closed loop system, but also make the generalized error converge to a neighborhood of the origin.

关 键 词：多变量线性系统 广义预测控制 自适应模糊控制 稳定性分析 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]