Iterative Parameter Estimation for a Class of Multivariable Systems Based on the Hierarchical Identification Principle and the Gradient Search

作者：Wang, Dongqing^*; Ding, Rui; Dong, Xinzhuang

来源：Circuits, Systems, and Signal Processing, 2012, 31(6): 2167-2177.

DOI：10.1007/s00034-012-9425-y

• Hierarchical identification
• Multivariable systems
• Stochastic gradient
• Least squares
• Iterative identification

For a multivariable controlled autoregressive system with autoregressive noises, its corresponding identification model contains a parameter matrix and a parameter vector. This paper presents the hierarchical gradient-based iterative (HGI) algorithm to interactively estimate the parameter matrix and the parameter vector by using the hierarchical identification principle and the gradient search. The simulation results show that the HGI algorithm is effective.

• 出版日期2012-12
• 单位青岛大学; 江南大学