Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control

To improve the tracking accuracy and robustness of the path-tracking control model for intelligent vehicles under longitudinal and lateral coupling constraints, this paper utilizes the Kalman filter algorithm to design a longitudinal and lateral coordinated control (LLCC) strategy optimized by adapt...

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Autors principals:	Yun Wang, Zhanpeng Wang, Dapai Shi, Fulin Chu, Junjie Guo, Jiaheng Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-08-01
Col·lecció:	World Electric Vehicle Journal
Matèries:	intelligent vehicles longitudinal and lateral coordinated control RBF neural network adaptive sliding mode control
Accés en línia:	https://www.mdpi.com/2032-6653/15/9/387
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