A Hybrid Physics-Based and Stochastic Neural Network Model Structure for Diesel Engine Combustion Events

A Hybrid Physics-Based and Stochastic Neural Network Model Structure for Diesel Engine Combustion Events

Estimation of combustion phasing and power production is essential to ensuring proper combustion and load control. However, archetypal control-oriented physics-based combustion models can become computationally expensive if highly accurate predictive capabilities are achieved. Artificial neural netw...

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Bibliographic Details
Main Authors: King Ankobea-Ansah, Carrie Michele Hall
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Vehicles
Subjects:
artificial neural network
transfer learning
adaptive control
combustion modeling
diesel engine
Bayesian regularization
Online Access:https://www.mdpi.com/2624-8921/4/1/17

Internet

https://www.mdpi.com/2624-8921/4/1/17

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