基于KAUTZ模型的预测函数控制及其稳定条件  

Stability condition of predictive functional control based on Kautz model

作　　者：许鸣珠[1] 刘贺平[1] 李晓理[1] 王允建[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《北京科技大学学报》2007年第11期1171-1176,共6页Journal of University of Science and Technology Beijing

基　　金：北京市教委重点学科共建项目(No00002268)

摘　　要：对模型未知的系统采用Kautz函数逼近得到系统的近似模型.基于所得到的Kautz模型设计了一种预测函数控制器.对该算法进行了稳定性分析,依据Lyapunov稳定性定理得到了保证闭环控制系统稳定的充分条件.仿真实验证明,该算法能够准确逼近真实系统模型,实现自适应控制,得到满意的控制效果.The orthogonal Kautz function was used to obtain the approximate model of a system. An adaptive predictive functional control algorithm using the Kautz model was designed. The stability of the algorithm was analyzed, and the sufficient condition to make a closed-loop system stable was presented based on the Lyapunov stability theory. Simulation results show that the proposed algorithm is effective, which can describe the system exactly and reach a high degree of control performance.

关 键 词：预测函数控制 Kautz模型 最小二乘辨识 LYAPUNOV稳定性 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]