Iterative Parameter Estimation for a Class of Multivariable Systems Based on the Hierarchical Identification Principle and the Gradient Search |
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| Authors: | Dongqing Wang Rui Ding Xinzhuang Dong |
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| Affiliation: | 1. College of Automation Engineering, Qingdao University, Qingdao, 266071, PR China
2. School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, PR China
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| Abstract: | 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. |
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