A Distributed <i>H<sub>∞</sub></i> Controller for Vehicle Platoon With the Directed Graph

ABSTRACT This paper revisits the distributed controller design for the platooning of connected vehicles. Recently, the relevant result subjected to the undirected topology has been studied, in the light of the symmetry of the Laplace matrix. It is well known that the same problem is more challenging for the directed topology, since the Laplace matrix ceases to be symmetric. In this paper, the problem is solved by introducing more weighting parameters and setting suitable values for them. Then we show that the introduced weighting parameters lead to a positive effect on performance, and solve the problem of feedback high‐gain. Finally, two numerical simulations and a practical simulation based on the Next Generation Simulation (NGSIM) dataset are applied to illustrate the effectiveness of our method.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-03-05
DOI
https://doi.org/10.1002/rnc.7904
Citations
1
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Distributed H∞ Controller for Vehicle Platoon With the Directed Graph

Rong Su, Jilie Zhang, Kun Zhang, Huaguang Zhang
1 citations
International Journal of Robust and Nonlinear Control
Traffic control and management
1.21
article

A Distributed H∞ Controller for Vehicle Platoon With the Directed Graph

Rong Su, Jilie Zhang, Kun Zhang, Huaguang Zhang
article en
1 citations

Abstract

ABSTRACT This paper revisits the distributed controller design for the platooning of connected vehicles. Recently, the relevant result subjected to the undirected topology has been studied, in the light of the symmetry of the Laplace matrix. It is well known that the same problem is more challenging for the directed topology, since the Laplace matrix ceases to be symmetric. In this paper, the problem is solved by introducing more weighting parameters and setting suitable values for them. Then we show that the introduced weighting parameters lead to a positive effect on performance, and solve the problem of feedback high‐gain. Finally, two numerical simulations and a practical simulation based on the Next Generation Simulation (NGSIM) dataset are applied to illustrate the effectiveness of our method.

International Journal of Robust and Nonlinear ControlVol. 35(10)
Nanyang Technological University (SG), Southwest Jiaotong University (CN), Beihang University (CN), Northeastern University (CN)
National Natural Science Foundation of China, Beijing Nova Program, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 24%
Traffic control and management
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Distributed <i>H<sub>∞</sub></i> Controller for Vehicle Platoon With the Directed Graph — Rong Su, Jilie Zhang, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS