南京信息工程大学学报Issue(3)：193-210,18.
类多变量输出误差系统的耦合多新息辨识方法
Coupled multi-innovation identification methods for multivariable output-error-like systems
摘要
Abstract
The auxiliary model identification idea,the multi-innovation identification theory and the coupling iden-tification 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 re-duce 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-innova-tion identification theory and the coupling identification concept. Finally,the computational efficiency,the computa-tional steps and the flowcharts of some typical identification algorithms are discussed.关键词
参数估计/递推辨识/梯度搜索/最小二乘/辅助模型辨识思想/多新息辨识理论/递阶辨识原理/耦合辨识概念/类多变量系统Key words
parameter estimation/recursive identification/gradient search/least squares/auxiliary model identifica-tion idea/multi-innovation identification theory/hierarchical identification principle/coupling identification concept/multivariable-like system分类
信息技术与安全科学引用本文复制引用
丁锋,汪菲菲,汪学海..类多变量输出误差系统的耦合多新息辨识方法[J].南京信息工程大学学报,2014,(3):193-210,18.基金项目
国家自然科学基金（61273194）；江苏省自然科学基金 （）
