Channel-Level Event-Triggered Communication Scheme for Path Tracking Control of Autonomous Ground Vehicles With Distributed Sensors-Reference-Cited by-同舟云学术

Channel-Level Event-Triggered Communication Scheme for Path Tracking Control of Autonomous Ground Vehicles With Distributed Sensors

Published:2023-10 Issue:10 Volume:72 Page:12553-12566
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhang Liqin¹^ORCID,Hu Manjiang¹^ORCID,Zhang Hui²^ORCID,Bian Yougang¹^ORCID,Nguyen Anh-Tu³^ORCID,Ding Rongjun¹^ORCID

Affiliation:

1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China

2. Department of Transportation Science and Engineering, Beihang University, Beijing, China

3. LAMIH laboratory, UMR CNRS 8201, Université Polytechnique Hauts-de-France, Valenciennes, France

Funder

National Natural Science Foundation of China

S&T Innovation Program of Hunan Province

Natural Science Foundation of Hunan Province

Young Elite Scientists Sponsorship Program by CAST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10287112/10121695.pdf?arnumber=10121695

Reference50 articles.

1. Robust Tube-Based Model Predictive Control for Lateral Path Tracking

2. Design and experimental evaluation of an efficient MPC-based lateral motion controller considering path preview for autonomous vehicles

3. Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints

4. Model predictive path following control for autonomous cars considering a measurable disturbance: Implementation, testing, and verification

5. Path Following Control of Autonomous Four-Wheel-Independent-Drive Electric Vehicles via Second-Order Sliding Mode and Nonlinear Disturbance Observer Techniques

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