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基于KAUTZ模型的预测函数控制及其稳定条件
引用本文:许鸣珠,刘贺平,李晓理,王允建.基于KAUTZ模型的预测函数控制及其稳定条件[J].北京科技大学学报,2007,29(11):1171-1176.
作者姓名:许鸣珠  刘贺平  李晓理  王允建
作者单位:北京科技大学信息工程学院,北京,100083
基金项目:北京市教委重点学科建设项目
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.

关 键 词:预测函数控制  Kautz模型  最小二乘辨识  Lyapunov稳定性  系统模型  预测函数控制  稳定条件  model  based  predictive  functional  control  condition  控制效果  适应控制  逼近真实  验证  仿真  充分条件  控制系统稳定  闭环  稳定性定理  Lyapunov  分析  算法  控制器
收稿时间:2006-08-09
修稿时间:2006-10-30

Stability condition of predictive functional control based on Kautz model
XU Mingzhu,LIU Heping,LI Xiaoli,WANG Yunjian.Stability condition of predictive functional control based on Kautz model[J].Journal of University of Science and Technology Beijing,2007,29(11):1171-1176.
Authors:XU Mingzhu  LIU Heping  LI Xiaoli  WANG Yunjian
Abstract: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.
Keywords:predictive functional control  Kautz model  RLS  Lyapunov stability
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