A System Identification Framework for Modeling Complex Combustion Dynamics Using Support Vector Machines

DOI10.1007/978-3-319-03500-0_19zbMath1418.93060OpenAlexW30915601MaRDI QIDQ5223341

XuanLong Nguyen, Jeff Sterniak, Vijay Manikandan Janakiraman, Dennis N. Assanis

Publication date: 17 July 2019

Published in: Informatics in Control, Automation and Robotics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-03500-0_19

zbMATH Keywords

identificationneural networkscombustionnonlinear regressionsupport vector machinehomogeneous charge compression ignitioncontrol modelHCCIengine model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) System identification (93B30) Nonlinear systems in control theory (93C10) Application models in control theory (93C95)

Related Items (1)

A System Identification Framework for Modeling Complex Combustion Dynamics Using Support Vector Machines

Cites Work

• Hybrid control of homogeneous charge compression ignition (HCCI) engine dynamics
• A System Identification Framework for Modeling Complex Combustion Dynamics Using Support Vector Machines

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