Method for the Trajectory Tracking Control of Unmanned Ground Vehicles Based on Chaotic Particle Swarm Optimization and Model Predictive Control

The symmetry principle has significant guiding value in vehicle dynamics modeling and motion control. In complex driving scenarios, there are problems of low accuracy and large time delay in the trajectory tracking control of unmanned ground vehicles. In order to solve this problem and improve the m...

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Vydáno v:	Symmetry (Basel) Ročník 16; číslo 6; s. 708
Hlavní autoři:	Jin, Mengtao, Li, Junmin, Chen, Te
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.06.2024
Témata:	Accuracy Algorithms Computational efficiency Control algorithms Control methods Controllers Efficiency Ground based control Lane changing Lateral stability Local optimization Mathematical optimization Methods Motion control Multiple objective analysis Optimization algorithms Particle swarm optimization Predictive control Symmetry Time lag Tracking control Tracking errors Trajectory control Unmanned ground vehicles Vehicles Yaw
ISSN:	2073-8994, 2073-8994
On-line přístup:	Získat plný text
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