A Unifying View of Multivariate State Space Models for Soft Sensors in Industrial Processes

A Unifying View of Multivariate State Space Models for Soft Sensors in Industrial Processes

State-space formulations offer a flexible approach for developing soft sensors in industrial processes, leveraging both data information and domain knowledge of process dynamics. On one hand, the state vector introduces varying perspectives in modeling process dynamics. However, choosing the definit...

Full description

Bibliographic Details
Main Authors: Wenyi Liu, Takehisa Yairi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Auto-regressive dynamic latent variables (ADLV)
linear dynamical system (LDS)
quality prediction
multivariate time series
soft sensor
state space models
Online Access:https://ieeexplore.ieee.org/document/10366274/

Internet

https://ieeexplore.ieee.org/document/10366274/

Similar Items