all AI news
Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Vehicles
April 22, 2024, 4:41 a.m. | Michael H. Shaham, Taskin Padir
cs.LG updates on arXiv.org arxiv.org
Abstract: Platooning of autonomous vehicles has the potential to increase safety and fuel efficiency on highways. The goal of platooning is to have each vehicle drive at some speed (set by the leader) while maintaining a safe distance from its neighbors. Many prior works have analyzed various controllers for platooning, most commonly linear feedback and distributed model predictive controllers. In this work, we introduce an algorithm for learning a stable, safe, distributed controller for a heterogeneous …
abstract arxiv autonomous autonomous vehicles cs.ai cs.lg cs.ma cs.ro cs.sy distributed drive eess.sy efficiency feedback highways leader neighbors prior safe safety set speed type vehicles
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US