Predefined-Time Cluster Formation Tracking of Networked Unmanned Surface Vehicles With Global Output Constraint

In this paper, the predefined-time cluster formation tracking (PTCFT) of the networked uncrewed surface vehicles (NUSVs) is achieved based on a hierarchical predefined-time output constraint (HPTOC) control algorithm, which is consisted of a predefined-time single-output estimator (PTSOE), a predefined-time disturbance observer (PTDO), and a predefined-time constraint-handling controller (PTCHC) with a predefined-time sliding mode (PTSM). The PTSOE is a single-output estimator, which contains only one output variable such that the estimations of position and velocity are no longer relatively independent. The observation value of the uncertain term in the PTDO is incorporated into the PTCHC to reinforce its anti-disturbance capability. Further, the realization of the global output constraint is by constraining the PTSM directly under the PTCHC, and then deriving the allowable boundary for the state error designed in the PTSM through theoretical analysis. More importantly, the realization of the global output constraint does not require specifying a range for the initial values of both the system states and the PTSM. The theoretical rationality of the HPTOC control algorithm is derived with the help of several sufficiency criteria and constructed Lyapunov functions. And eventually, three examples in numerical simulation are proposed to illustrate the feasibility of the HPTOC control algorithm.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-08-25
DOI
https://doi.org/10.1109/tits.2025.3590603
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

Predefined-Time Cluster Formation Tracking of Networked Unmanned Surface Vehicles With Global Output Constraint

Tao Han, Bo Xiao, Jia-Du Zhang, Huaicheng Yan
IEEE Transactions on Intelligent Transportation Systems
Distributed Control Multi-Agent Systems
article

Predefined-Time Cluster Formation Tracking of Networked Unmanned Surface Vehicles With Global Output Constraint

Tao Han, Bo Xiao, Jia-Du Zhang, Huaicheng Yan
article en

Abstract

In this paper, the predefined-time cluster formation tracking (PTCFT) of the networked uncrewed surface vehicles (NUSVs) is achieved based on a hierarchical predefined-time output constraint (HPTOC) control algorithm, which is consisted of a predefined-time single-output estimator (PTSOE), a predefined-time disturbance observer (PTDO), and a predefined-time constraint-handling controller (PTCHC) with a predefined-time sliding mode (PTSM). The PTSOE is a single-output estimator, which contains only one output variable such that the estimations of position and velocity are no longer relatively independent. The observation value of the uncertain term in the PTDO is incorporated into the PTCHC to reinforce its anti-disturbance capability. Further, the realization of the global output constraint is by constraining the PTSM directly under the PTCHC, and then deriving the allowable boundary for the state error designed in the PTSM through theoretical analysis. More importantly, the realization of the global output constraint does not require specifying a range for the initial values of both the system states and the PTSM. The theoretical rationality of the HPTOC control algorithm is derived with the help of several sufficiency criteria and constructed Lyapunov functions. And eventually, three examples in numerical simulation are proposed to illustrate the feasibility of the HPTOC control algorithm.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(11)
East China University of Science and Technology (CN), Hubei Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 75%
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.

Predefined-Time Cluster Formation Tracking of Networked Unmanned Surface Vehicles With Global Output Constraint — Tao Han, Bo Xiao, et al. · IEEE Transactions on Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS