Auxiliary Model Based Multi-Innovation Stochastic Gradient Identification Algorithm for Periodically Non-Uniformly Sampled-Data Hammerstein Systems

Auxiliary Model Based Multi-Innovation Stochastic Gradient Identification Algorithm for Periodically Non-Uniformly Sampled-Data Hammerstein Systems

Due to the lack of powerful model description methods, the identification of Hammerstein systems based on the non-uniform input-output dataset remains a challenging problem. This paper introduces a time-varying backward shift operator to describe periodically non-uniformly sampled-data Hammerstein s...

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Bibliographic Details
Main Authors: Li Xie, Huizhong Yang
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Algorithms
Subjects:
non-uniform sampling
Hammerstein system
parameter estimation
multi-innovation theory
stochastic gradient algorithm
Online Access:https://www.mdpi.com/1999-4893/10/3/84

Internet

https://www.mdpi.com/1999-4893/10/3/84

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