A system identification framework for modeling complex combustion dynamics using support vector machines

Lecture Notes in Electrical Engineering

Volumn 283, Issue , 2014, Pages 297-313

  Janakiraman, Vijay Manikandan ^a   Nguyen, Xuan Long ^a   Sterniak, Jeff ^b   Assanis, Dennis ^c  

^a UNIVERSITY OF MICHIGAN   (United States)

^b ROBERT BOSCH GMBH   (Germany)

^c STONY BROOK UNIVERSITY   (United States)

Author keywords

Combustion; Control model; Engine model; HCCI; Homogeneous charge compression ignition; Identification; Neural networks; Nonlinear regression; Support vector machine

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMOTIVE INDUSTRY; COMBUSTION; COMPLEX NETWORKS; ENGINES; IDENTIFICATION (CONTROL SYSTEMS); IGNITION; INFORMATION SCIENCE; LEARNING SYSTEMS; NEURAL NETWORKS; POWERTRAINS; ROBOTICS;

CONTROL MODEL; ENGINE MODELING; HCCI; HOMOGENEOUS CHARGE COMPRESSION IGNITION; NON-LINEAR REGRESSION;

SUPPORT VECTOR MACHINES;

EID: 84919642176     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-319-03500-0_19     Document Type: Conference Paper

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