Distributed Adaptive Formation Control for Fractional-Order Multi-Agent Systems with Actuator Failures and Switching Topologies

In this paper, a class of distributed adaptive formation control problems are investigated for second-order nonlinear fractional-order multi-agent systems with actuator failures and switching topologies. To address these challenges, two adaptive coupling gains based on agents’ position and velocity are incorporated into the control protocol. Using the Lyapunov method along with graph theory and matrix analysis, sufficient conditions for system stability are derived in the presence of actuator failures and switching topologies. The effectiveness of the proposed control protocol is demonstrated through numerical simulations, which show its capability to maintain stable formation control under these challenging conditions.

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Institutions

Publication Details

Journal
Fractal and Fractional
Published
2024-09-28
DOI
https://doi.org/10.3390/fractalfract8100563
Citations
5
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.74

Funders

Controls
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article

Distributed Adaptive Formation Control for Fractional-Order Multi-Agent Systems with Actuator Failures and Switching Topologies

Jing Li, Xingyun Shi, Xuqiong Luo, Zixiang Yan
5 citations
Fractal and Fractional
Distributed Control Multi-Agent Systems
1.74
article

Distributed Adaptive Formation Control for Fractional-Order Multi-Agent Systems with Actuator Failures and Switching Topologies

Jing Li, Xingyun Shi, Xuqiong Luo, Zixiang Yan
article en
5 citations

Abstract

In this paper, a class of distributed adaptive formation control problems are investigated for second-order nonlinear fractional-order multi-agent systems with actuator failures and switching topologies. To address these challenges, two adaptive coupling gains based on agents’ position and velocity are incorporated into the control protocol. Using the Lyapunov method along with graph theory and matrix analysis, sufficient conditions for system stability are derived in the presence of actuator failures and switching topologies. The effectiveness of the proposed control protocol is demonstrated through numerical simulations, which show its capability to maintain stable formation control under these challenging conditions.

Fractal and FractionalVol. 8(10)
Changsha University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 14%
Distributed Control Multi-Agent Systems
1.74
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