Academic Journal

Finite Time Robust Flocking of Second-Order Linear Agents

Bibliographic Details
Title: Finite Time Robust Flocking of Second-Order Linear Agents
Authors: Pietrasanta, Rodolfo, Chadli, Mohammed, Nouveliere, Lydie
Contributors: Davesne, Frédéric
Source: 2025 IEEE 19th International Conference on Control & Automation (ICCA). :775-780
Publisher Information: IEEE, 2025.
Publication Year: 2025
Subject Terms: [SPI.AUTO] Engineering Sciences [physics]/Automatic, Nonlinear systems, Trajectory, Biological system modeling, Uncertainty, Target tracking, Reliability theory, Lattices, Convergence, Tuning, Robustness
Description: In this paper, we propose a novel control strategy inspired by sliding mode principles, designed to drive a set of second-order linear agents into a lattice configuration in finite time, thereby satisfying Reynolds' flocking rules. Moreover, we demonstrate that the control law is robust against a class of external disturbances, ensuring stable flocking behavior even in the presence of uncertainties. To validate our theoretical results, we present several simulation scenarios that confirm both the effectiveness and robustness of the proposed approach.
Document Type: Article
Conference object
DOI: 10.1109/icca65672.2025.11129766
Rights: STM Policy #29
Accession Number: edsair.doi.dedup.....98408c8282f87c7aa87c4fe2a9c60a8c
Database: OpenAIRE
FullText Text:
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DbLabel: OpenAIRE
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RelevancyScore: 1048
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1047.51147460938
IllustrationInfo
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  Data: Finite Time Robust Flocking of Second-Order Linear Agents
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  Data: <searchLink fieldCode="AR" term="%22Pietrasanta%2C+Rodolfo%22">Pietrasanta, Rodolfo</searchLink><br /><searchLink fieldCode="AR" term="%22Chadli%2C+Mohammed%22">Chadli, Mohammed</searchLink><br /><searchLink fieldCode="AR" term="%22Nouveliere%2C+Lydie%22">Nouveliere, Lydie</searchLink>
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  Data: Davesne, Frédéric
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  Data: <i>2025 IEEE 19th International Conference on Control & Automation (ICCA)</i>. :775-780
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  Data: IEEE, 2025.
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  Data: 2025
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  Data: <searchLink fieldCode="DE" term="%22[SPI%2EAUTO]+Engineering+Sciences+[physics]%2FAutomatic%22">[SPI.AUTO] Engineering Sciences [physics]/Automatic</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Trajectory%22">Trajectory</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+system+modeling%22">Biological system modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Target+tracking%22">Target tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+theory%22">Reliability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Lattices%22">Lattices</searchLink><br /><searchLink fieldCode="DE" term="%22Convergence%22">Convergence</searchLink><br /><searchLink fieldCode="DE" term="%22Tuning%22">Tuning</searchLink><br /><searchLink fieldCode="DE" term="%22Robustness%22">Robustness</searchLink>
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  Label: Description
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  Data: In this paper, we propose a novel control strategy inspired by sliding mode principles, designed to drive a set of second-order linear agents into a lattice configuration in finite time, thereby satisfying Reynolds' flocking rules. Moreover, we demonstrate that the control law is robust against a class of external disturbances, ensuring stable flocking behavior even in the presence of uncertainties. To validate our theoretical results, we present several simulation scenarios that confirm both the effectiveness and robustness of the proposed approach.
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  Data: 10.1109/icca65672.2025.11129766
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  Data: STM Policy #29
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  Data: edsair.doi.dedup.....98408c8282f87c7aa87c4fe2a9c60a8c
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      – SubjectFull: Nonlinear systems
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      – SubjectFull: Lattices
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      – SubjectFull: Tuning
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      – SubjectFull: Robustness
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      – TitleFull: Finite Time Robust Flocking of Second-Order Linear Agents
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