摘要
本文基于Guidorzi方法,提出一种辨识多变量系统结构和参数的递推算法。本算法通过对矩阵进行分解,根据分解过程中某参数的变化情况,判断矩阵的奇异性,从而辨识出系统的结构和参数,使得原来对矩阵求逆及求行列式的运算变为简单的代数运算,大大减少了辨识过程中的计算量,数值实例表明了这种算法的有效性。
In this papcr,a recursive identification algorithm for determining structural indices and parameters of multivariable system is presented on the basis of Guidorizi's method. This algorithm is based on matrix decomposition by which the singularity of matric is determined according to the variation of a certain parameter is decomposition, therefore the structure indices and parameters of system arc estimatcd.In the whole algorithm it is necessary ncither to evaluate the value of determinant nor to inverse the matrix ,requiring only simple algebra operations. So,the amount of calculation is identification is greatly reduced . The validity of proposed algorithm has been proved by the results of digital simulation.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1990年第2期78-82,共5页
Control Theory & Applications
基金
山西省自然科学基金
关键词
多变量系统
结构辨识
参数
递推
multivariable system
structure identification
recursive dlgorithm
disintegration
positivily
singularity
