Machine learning approaches for identification of heat release shapes in a low temperature combustion engine for control applications

Author:

Batool SadafORCID,Naber Jeffrey D.ORCID,Shahbakhti Mahdi

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference42 articles.

1. Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions;Aliriamezani;Progress in Energy and Combustion Science,2021

2. Data-driven modeling and predictive control of maximum pressure rise rate in RCCI engines;Basina,2020

3. Data-driven modeling and control of cyclic variability of an engine operating in low temperature combustion modes;Batool,2021

4. Closed-loop predictive control of a multi-mode engine including homogeneous charge compression ignition, partially premixed charge compression ignition and reactivity controlled compression ignition modes;Batool;SAE International Journal of Fuels and Lubricants,2022

5. Multi-mode low temperature combustion (LTC) and mode switching control;Batool,2022

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