Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization
作者：
Highlights：
• A robust recursive controller is designed via multiobjective optimization.
• The proposed approach is applied to heavy self-driving vehicle control design.
• A local search procedure is proposed for multiobjective evolutionary algorithms.
• The approach does not require prior knowledge of the system dynamics.
• The proposed method improved robustness, stability and smoothness.
摘要
•A robust recursive controller is designed via multiobjective optimization.•The proposed approach is applied to heavy self-driving vehicle control design.•A local search procedure is proposed for multiobjective evolutionary algorithms.•The approach does not require prior knowledge of the system dynamics.•The proposed method improved robustness, stability and smoothness.
论文关键词：Autonomous vehicles,Path-following,Robust control,Multiobjective optimization,Evolutionary algorithms
论文评审过程：Received 28 October 2020, Revised 9 October 2021, Accepted 25 November 2021, Available online 20 December 2021, Version of Record 28 December 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116304
