Predefined-Time Consensus Algorithm Based on the Fully Actuated System Approach

This study examines a predefined-time consensus algorithm for unmanned vehicles (UVs) utilizing the fully actuated system approach (FASA). As UVs become increasingly prevalent in various applications, achieving coordinated control through consensus algorithms is crucial. However, traditional methods often fall short in complex environments. The proposed algorithm integrates FASA with predefined-time control theory, enabling UVs to achieve state synchronization within a predefined time frame while enhancing robustness against disturbances. The algorithm's effectiveness is validated through theoretical analysis and simulations, providing a robust solution for coordinating UVs in dynamic environments.

Authors

Institutions

Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138475
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predefined-Time Consensus Algorithm Based on the Fully Actuated System Approach

Ming‐Feng Ge, Bin Qiu, Zhi-Wei Liu, Yifan Li
Distributed Control Multi-Agent Systems
article

Predefined-Time Consensus Algorithm Based on the Fully Actuated System Approach

Ming‐Feng Ge, Bin Qiu, Zhi-Wei Liu, Yifan Li
article en

Abstract

This study examines a predefined-time consensus algorithm for unmanned vehicles (UVs) utilizing the fully actuated system approach (FASA). As UVs become increasingly prevalent in various applications, achieving coordinated control through consensus algorithms is crucial. However, traditional methods often fall short in complex environments. The proposed algorithm integrates FASA with predefined-time control theory, enabling UVs to achieve state synchronization within a predefined time frame while enhancing robustness against disturbances. The algorithm's effectiveness is validated through theoretical analysis and simulations, providing a robust solution for coordinating UVs in dynamic environments.

China University of Geosciences (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 72%
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.