Hierarchical Recursive Gradient Parameter Identification for Multi‐Input ARX Systems With Partially‐Coupled Information Vectors
Jiangnan University · Wuhan Donghu University · +2 more institutions
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
- FWCI
- 48.61
- Percentile
- 100%
- References
- 150
Authors
4Topics & keywords
- Multivariable calculus
- Identification (biology)
- Computer science
- Coupling (piping)
- Control theory (sociology)
- Multivariate statistics
- System identification
- Algorithm
- Industry, innovation and infrastructure