Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle
2012 ◽
Vol 60
(3)
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pp. 661-667
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Abstract The paper presents implementation of PSO (Particle Swarm Optimization) to ANN-based speed controller tuning. Selected learning parameters are optimized according to the control objective function. A battery electric vehicle is considered as a potential plant for an adaptive speed controller. The need for adaptivity in the control algorithm is justified by variations of a total weight of the vehicle. A sizable section of the paper deals with selection of a combined objective function able to effectively evaluate the quality of a solution.
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2015 ◽
Vol 785
◽
pp. 495-499
2021 ◽
Vol 0
(0)
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Keyword(s):
2009 ◽
Vol 3
(3)
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pp. 618-628
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Keyword(s):
2014 ◽
Vol 2014
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pp. 1-13
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