摘要
提出了一种基于小波分解的MIMO系统辨识最优输入信号的设计方法 ,将小波的多分辨率分析应用于MIMO系统的最小二乘辨识中 ,并且与闭环系统的控制性能指标关联起来 ,从而得出一种最优实验的设计方法 .由于小波变换的多分辨特性和良好的去相关作用 (对有色噪声的白化作用 ) ,这种方法能获得比普通的系统辨识方法更好的结果 .
A method of optimal input signal design for MIMO system identification is proposed. We first apply the wavelet multiresolution theory to the least-squares MIMO system identification, and combine the input signal with the control performance index of the closed-loop system, then develop a method of optimal experiment design. Due to the multiresolution characteristic and the pre-whitening ability of the wavelet transform, this method could get better results than the existing system identification methods. The simulation result shows the effectiveness of the proposed method.
出处
《自动化学报》
EI
CSCD
北大核心
2003年第6期959-964,共6页
Acta Automatica Sinica
基金
国家自然科学基金 (6 9774 0 11
6 99340 10 )
国家重点基础研究专项基金 (G19980 2 0 30 7)资助~~
关键词
系统辨识
MIMO系统
最优实验
设计
小波分解
Control-relevant identification, wavelet analysis, optimal experiment design
