首页|Study Results from Beihang University in the Area of Support Vector Machines Rep orted (Robust Learning-based Gain-scheduled Path Following Controller Design for Autonomous Ground Vehicles)

Study Results from Beihang University in the Area of Support Vector Machines Rep orted (Robust Learning-based Gain-scheduled Path Following Controller Design for Autonomous Ground Vehicles)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning - Support Vector Machines. According to news reporting out of B eijing, People's Republic of China, by NewsRx editors, research stated, “In this paper, a robust gain-scheduled path following controller for automated vehicles based on learning methods is presented. Two major challenges are overcome:1) Va rying longitudinal velocity, uncertain cornering stiffness, and unmodelled uncer tainties make dynamic-model-based controller design work complex. 2) Driving sce nario changes deteriorate path following controller performance.”

BeijingPeople's Republic of ChinaAsiaMachine LearningSupport Vector MachinesBeihang University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.26)