Robust air/fuel ratio control with adaptive DRNN model and AD tuning

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 2, 2010, Pages 283-289

  Zhai, Yu Jia ^a   Yu, Ding Wen ^b   Guo, Hong Yu ^c   Yu, D L ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b NORTHEASTERN UNIVERSITY AT QINHUANGDAO   (China)

^c Gongshang University   (China)

Author keywords

Adaptive neural networks; Air fuel ratio control; Model predictive control; Recurrent neural networks; SI engines

Indexed keywords

ADAPTIVE NEURAL NETWORKS; AIR/FUEL RATIO; AIR/FUEL RATIO CONTROL; CURRENT PRODUCTION; DIAGONAL RECURRENT NEURAL NETWORKS; ENGINE MODELLING; ENGINE PARAMETER; IN-CONTROL; LOOK UP TABLE; MEAN VALUE ENGINE MODELS; MODEL BASED PREDICTIVE CONTROL; PI CONTROL; PREDICTIVE CONTROL; SI ENGINES; SIMULATION RESULT; TIME-VARYING DYNAMICS;

ADAPTIVE CONTROL SYSTEMS; ENGINES; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; REINFORCEMENT LEARNING; ROBUST CONTROL; TABLE LOOKUP;

RECURRENT NEURAL NETWORKS;

EID: 75749134845     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.12.006     Document Type: Article

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