GPR model with signal preprocessing and bias update for dynamic processes modeling

• Main Authors: Ni, Wangdong, Wang, Ke, Chen, Tao, Ng, Wun Jern, Tan, Soon Keat
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/100842; http://hdl.handle.net/10220/10816
• Institution: Nanyang Technological University

This paper introduces a Gaussian process regression (GPR) model which could adapt to both linear and nonlinear systems automatically without prior introduction of kernel functions. The applications of GPR model for two industrial examples are presented. The first example addresses a biological anaer...