Data-Driven Driving State Control for Unmanned Agricultural Logistics Vehicle

Logistic activities widely exist in the agricultural production process. With the gradual application of unmanned technology in agricultural production, the technology related to intelligent logistics has become a research hotspot. Because of the complicated driving road conditions of agricultural l...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.65530-65543
Hauptverfasser:	Zhou, Xuesheng, Zhou, Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control agricultural big data structure Agricultural land Agricultural production Agricultural vehicles Control methods Control stability Driving conditions Four wheel drive Logistic activities Logistics Mathematical model model predictive control Optimization Predictive control Predictive models Radar scanning Stability analysis unmanned driving technology Vehicles Wheels
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