Affine Formation Obstacle Avoidance Control for Multi‐Agent Systems Under an Improved Disturbance Observer

ABSTRACT The paper addresses affine formation obstacle avoidance control of multi‐agent systems (MASs) with unknown external disturbances. An improved disturbance observer is developed to enhance the estimation accuracy. An affine transformation and an adaptive controller are exploited to dynamically adjust formation against unknown obstructed environments. Sufficient criteria are established to achieve obstacle avoidance with zero velocity, constant velocity, and time‐varying velocity, respectively. Finally, two examples are simulated to deliver the effectiveness of the proposed control schemes.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-01-19
DOI
https://doi.org/10.1002/rnc.70398
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Affine Formation Obstacle Avoidance Control for Multi‐Agent Systems Under an Improved Disturbance Observer

Mouquan Shen, Zheng Hong Zhu, Hamid Reza Karimi, Wen Qin
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
article

Affine Formation Obstacle Avoidance Control for Multi‐Agent Systems Under an Improved Disturbance Observer

Mouquan Shen, Zheng Hong Zhu, Hamid Reza Karimi, Wen Qin
article en

Abstract

ABSTRACT The paper addresses affine formation obstacle avoidance control of multi‐agent systems (MASs) with unknown external disturbances. An improved disturbance observer is developed to enhance the estimation accuracy. An affine transformation and an adaptive controller are exploited to dynamically adjust formation against unknown obstructed environments. Sufficient criteria are established to achieve obstacle avoidance with zero velocity, constant velocity, and time‐varying velocity, respectively. Finally, two examples are simulated to deliver the effectiveness of the proposed control schemes.

International Journal of Robust and Nonlinear Control
Nanjing Tech University (CN), York University (CA), Politecnico di Milano (IT)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 86%
Distributed Control Multi-Agent Systems
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.