Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression with Maximizing the Composite Likelihood
In: IEEE Transactions on Industrial Electronics (T-IE), Vol. 70 (2023), No. 11, pp. 11744 - 11753
2023article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression with Maximizing the Composite Likelihood
Author:
Huang, Haojie
- ORCID
- 0000-0002-9473-4851
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Other
- connected with university
- Other
- corresponding author
Year of publication:
2023
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Language of text:
English
Keyword, Topic:
Bayes methods ; Bayesian method ; diesel engine ; Gaussian process regression ; Kernel ; likelihood ; Linear programming ; machine learning ; Predictive models ; sparse method ; Training ; Training data ; Uncertainty