Predefined-Time Distributed Formation Control for Large Scaled UAVs Inspired by Pigeon Flock Behavior

This paper investigates observer-based distributed formation control for multiple UAVs over a directed topology containing a directed spanning tree. Inspired by the hierarchical behavior of pigeon flocks, a leader–follower topology and a cascaded prescribed-time distributed observer (PsTDO) are designed using pigeon-inspired neighbor selection rules to estimate a virtual leader’s position and velocity. A predefinedtime sliding-mode surface (PdTSMS) and a nonlinear compensation term are then introduced to construct a predefined-time distributed formation controller (PdTDFC). A quadratic Lyapunov analysis establishes the convergence guarantee. Numerical simulations and comparisons with finite-time and fixed-time methods demonstrate faster convergence and smaller tracking errors.

Authors

Publication Details

Journal
Guidance Navigation and Control
Published
2026-10-31
DOI
https://doi.org/10.1142/s2737480726500251
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Predefined-Time Distributed Formation Control for Large Scaled UAVs Inspired by Pigeon Flock Behavior

Haibin Duan, Hangxuan He, Zhaoyu Zhang
Guidance Navigation and Control
Distributed Control Multi-Agent Systems
article

Predefined-Time Distributed Formation Control for Large Scaled UAVs Inspired by Pigeon Flock Behavior

Haibin Duan, Hangxuan He, Zhaoyu Zhang
article en

Abstract

This paper investigates observer-based distributed formation control for multiple UAVs over a directed topology containing a directed spanning tree. Inspired by the hierarchical behavior of pigeon flocks, a leader–follower topology and a cascaded prescribed-time distributed observer (PsTDO) are designed using pigeon-inspired neighbor selection rules to estimate a virtual leader’s position and velocity. A predefinedtime sliding-mode surface (PdTSMS) and a nonlinear compensation term are then introduced to construct a predefined-time distributed formation controller (PdTDFC). A quadratic Lyapunov analysis establishes the convergence guarantee. Numerical simulations and comparisons with finite-time and fixed-time methods demonstrate faster convergence and smaller tracking errors.

Guidance Navigation and Control
Openalex Percentile: Top 12%
Distributed Control Multi-Agent Systems
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