类多变量输出误差系统的耦合多新息辨识方法

辅助模型辨识思想、多新息辨识理论、耦合辨识概念是研究复杂多变量系统辨识的新理念和原理.将它们结合起来研究类多变量输出误差系统的辨识问题，提出了多元辅助模型辨识方法、多元辅助模型多新息辨识方法、变递推间隔多元辅助模型多新息辨识方法.为减小算法的计算量和提高参数估计精度，将系统模型分解为一些子辨识模型，应用辅助模型辨识思想、多新息辨识理论、耦合辨识概念，研究和推导了部分耦合辅助模型辨识方法、部分耦合辅助模型多新息辨识方法.讨论了几个典型辨识算法的计算量，给出了参数估计的计算步骤和计算流程图.

Coupled multi-innovation identification methods for multivariable output-error-like systems

The auxiliary model identification idea,the multi-innovation identification theory and the coupling identification concept are the new ideas and principles for studying identification problems of complex systems.Combining them,this paper studies the identification methods of multivariable output-error-like systems and presents multivariate auxiliary model identification methods,multivariate auxiliary model based multi-innovation identification methods,interval-varying multivariate auxiliary model based multi-innovation identification methods.In order to reduce the computational complexity of the algorithms,we decompose the system into several sub-identification models and derive the partially coupled auxiliary model based identification methods and the partially coupled auxiliary model based multi-innovation identification methods,using the auxiliary model identification idea,the multi-innovation identification theory and the coupling identification concept.Finally,the computational efficiency,the computational steps and the flowcharts of some typical identification algorithms are discussed.