NDLI: Study on self- adapting control based on immune neural network for a car-engine

Content Provider	IEEE Xplore Digital Library
Author	Yuguang Chen Xin Li Wei Qian Shili Liao
Copyright Year	2008
Description	Author affiliation: Chongqing Inst. of Technol., Chongqing (Yuguang Chen; Xin Li; Wei Qian; Shili Liao)
Abstract	Because the parameters of a car-engine are of the discreteness, nonlinear and uncertain characteristics, it is hard to control accurately the excess air coefficient and the spark advance angle in dynamic procedure. A self-adapting control based on immune neural network was proposed. It absorbs well the advantages both off-line optimization of the fuzzy control parameters on genetic arithmetic and on-line regulation on an immune neural network. Self-adaptive immune regulation based on BP neural network was probed on the basis of the fuzzy control parameterspsila optimization. The experiment results demonstrate that the dynamic performances, economic performances and self- adaptation are all improved obviously.
Starting Page	6933
Ending Page	6936
File Size	350700
Page Count	4
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Fuzzy control Vehicle dynamics Genetics Optimization Genetic algorithms Sparks BP neural network gasoline engine fuzzy control genetic arithmetic immune feedback
Content Type	Text
Resource Type	Article

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