Online linearization-based neural predictive control of air-fuel ratio in SI engines with PID feedback correction scheme

Neural Computing and Applications

Volumn 19, Issue 6, 2010, Pages 919-933

  Saraswati, Samir ^a   Chand, Satish ^a  

^a MOTILAL NEHRU NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Air fuel ratio; Engine modelling; Feedback correction; Neural predictive control

Indexed keywords

ACTIVE SET METHODS; AIR FUEL RATIOS; COMPUTATIONAL BURDEN; COMPUTATIONALLY EFFICIENT; CONTROL SCHEMES; ENGINE MODELLING; ENGINE SYSTEMS; FEED-BACK CORRECTION; MEAN VALUE ENGINE MODELS; MODEL MISMATCH; NEURAL MODELS; NEURAL-PREDICTIVE CONTROLS; NON-LINEAR OPTIMIZATION; NONLINEAR PREDICTION; OFFLINE; ON-LINE IDENTIFICATION; PID FEEDBACK; REAL-TIME CONTROLLERS; SI ENGINES; SPARK IGNITION ENGINES;

AIR ENGINES; COMPUTER SIMULATION; ENGINES; FEEDBACK LINEARIZATION; FUELS; IDENTIFICATION (CONTROL SYSTEMS); ONLINE SYSTEMS; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; QUADRATIC PROGRAMMING;

MODEL PREDICTIVE CONTROL;

EID: 77955710493     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-010-0419-z     Document Type: Article

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