A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction

Neurocomputing

Volumn 173, Issue , 2016, Pages 1124-1141

  Azad, Nasser L ^a   Mozaffari, Ahmad ^a   Hedrick, J Karl ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Automotive engines; Bi Modular extreme learning machine; Coldstart operation; Hybrid switching model based predictive controller; Hydrocarbon emissions

Indexed keywords

ALGORITHMS; AUTOMOBILE ENGINES; EMISSION CONTROL; ENGINES; HYDROCARBON REFINING; HYDROCARBONS; INTELLIGENT CONTROL; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; SOCIAL NETWORKING (ONLINE); SWITCHING;

AUTOMOTIVE ENGINE; COLD-START; EXTREME LEARNING MACHINE; HYBRID-SWITCHING; HYDROCARBON EMISSION;

CONTROLLERS;

HYDROCARBON;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SYSTEM; EQUIPMENT DESIGN; EXHAUST GAS; EXTREME LEARNING MACHINE; HYBRID SWITCHING PREDICTIVE CONTROLLER; KERNEL METHOD; MACHINE LEARNING; MATHEMATICAL MODEL; MOTOR VEHICLE; NONLINEAR SYSTEM; ONLINE SYSTEM; PREDICTION; PRIORITY JOURNAL; SIMULATION; TEMPERATURE MEASUREMENT;

EID: 84959375651     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.08.070     Document Type: Article

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