2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) 2017
DOI: 10.1109/itec-ap.2017.8080797
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Cited by 7 publications
(3 citation statements)
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References 9 publications
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“…Tan et al 6 designed a fuzzy-PID controller for the path tracking of the articulated vehicle by using the fusion deviation feedback, but the vehicle is not active steering. Based on the kinematical model, Moran 7 designed a Linear-Fuzzy control system for the autonomous path following of truck-trailer robots under planned trajectory and avoiding jack-knife, but only the front-axle of the truck is steerable.…”
Section: Introductionmentioning
confidence: 99%
“…Tan et al 6 designed a fuzzy-PID controller for the path tracking of the articulated vehicle by using the fusion deviation feedback, but the vehicle is not active steering. Based on the kinematical model, Moran 7 designed a Linear-Fuzzy control system for the autonomous path following of truck-trailer robots under planned trajectory and avoiding jack-knife, but only the front-axle of the truck is steerable.…”
Section: Introductionmentioning
confidence: 99%
“…In the work of Dekker et al, the difference in the articulated angle speed between the actual vehicle and the model is clearly caused by system constraints [24]. Tan et al did not give control variables in their paper [25]. In the work of Zhao et al, the articulated angle speed is also significantly larger than the limit of real vehicles [26].…”
Section: Introductionmentioning
confidence: 99%
“…So, in this Letter, we hope to come up with a better solution. Fuzzy control is an experience-based control method, which has the advantage of good robustness [12,13]. So, in this Letter, we designed a velocity controller based on fuzzy control and combined it with the NMPC-based path tracking controller to build a new path tracking system.…”
mentioning
confidence: 99%