Homogeneous Observer‐Based Affine Formation Tracking

ABSTRACT This article addresses the control of mobile agents, termed followers, to track a time‐varying affine formation specified by a set of leaders. We present a distributed hierarchical method composed of a homogeneous high‐order sliding mode observer and a tracking controller. The observer estimates the followers' target trajectories from neighbor information in finite time and is robust to measurement noise. Compared to existing approaches, the method accommodates heterogeneous follower dynamics, maintains estimation accuracy independently of follower motion, and mitigates chattering effects. Convergence is guaranteed for both continuous‐ and discrete‐time implementations, which are supported by formal analysis and numerical simulations.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-11-20
DOI
https://doi.org/10.1002/rnc.70308
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Homogeneous Observer‐Based Affine Formation Tracking

Carlos Sagüés, Rodrigo Aldana‐López, Rosario Aragüés, Miguel Aranda
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
article

Homogeneous Observer‐Based Affine Formation Tracking

Carlos Sagüés, Rodrigo Aldana‐López, Rosario Aragüés, Miguel Aranda
article en

Abstract

ABSTRACT This article addresses the control of mobile agents, termed followers, to track a time‐varying affine formation specified by a set of leaders. We present a distributed hierarchical method composed of a homogeneous high‐order sliding mode observer and a tracking controller. The observer estimates the followers' target trajectories from neighbor information in finite time and is robust to measurement noise. Compared to existing approaches, the method accommodates heterogeneous follower dynamics, maintains estimation accuracy independently of follower motion, and mitigates chattering effects. Convergence is guaranteed for both continuous‐ and discrete‐time implementations, which are supported by formal analysis and numerical simulations.

International Journal of Robust and Nonlinear ControlVol. 36(5)
Universidad de Zaragoza (ES), Centro de Investigación y Proyectos en Ambiente y Desarrollo (MX), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
Banco Santander, European Commission, Consejo Nacional de Ciencia y Tecnología, Universidad de Zaragoza, Gobierno de Aragón, European Regional Development Fund, Agencia Estatal de Investigación, Interreg
Openalex Percentile: Top 59%
Distributed Control Multi-Agent Systems
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