Hierarchical Recursive Gradient Parameter Identification for Multi‐Input ARX Systems With Partially‐Coupled Information Vectors

Jiangnan University · Wuhan Donghu University · +2 more institutions

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Abstract

ABSTRACT The research object of coupling identification is for multivariate systems. It is required to study and explore recursive and iterative identification methods for multivariable systems when there exists information coupling and/or parameter coupling between their subsystems. For a multivariable system, namely a multiple‐input multiple‐output system, after parameterization, its identification model contains the same information vector in all its subsystems. For a multi‐input ARX system where there exists the information vector coupling, this paper derives the coupled identification model and investigates recursive parameter identification methods for such partially‐coupled information vector systems,…

Citation impact

50
total citations
FWCI
48.61
Percentile
100%
References
150
Citations per year

Authors

4

Topics & keywords

Keywords
  • Multivariable calculus
  • Identification (biology)
  • Computer science
  • Coupling (piping)
  • Control theory (sociology)
  • Multivariate statistics
  • System identification
  • Algorithm
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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