Second-Order Consensus in Heterogeneous Multi-Agent Systems by Distributed Sliding Mode Control

This paper investigates second-order consensus in heterogeneous multi-agent systems (HMASs) using a distributed sliding mode control (DSMC) strategy. The considered system operates with agents having diverse dynamic characteristics, including linear and nonlinear dynamics. A distributed control law is designed to ensure consensus among all agents, facilitating synchronization of their positions and velocities. The proposed control approach leverages sliding mode control to achieve finite-time convergence of consensus errors while ensuring robustness against system heterogeneity. Lyapunov-based stability analysis confirms the theoretical convergence of the system. Numerical simulations validate the effectiveness of the control scheme in achieving second-order consensus in heterogeneous agent networks.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/setcom64758.2025.10932548
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Second-Order Consensus in Heterogeneous Multi-Agent Systems by Distributed Sliding Mode Control

Dipayan Guha, Praveen Kumar, Amit Anand, Shubhi Purwar
Distributed Control Multi-Agent Systems
article

Second-Order Consensus in Heterogeneous Multi-Agent Systems by Distributed Sliding Mode Control

Dipayan Guha, Praveen Kumar, Amit Anand, Shubhi Purwar
article en

Abstract

This paper investigates second-order consensus in heterogeneous multi-agent systems (HMASs) using a distributed sliding mode control (DSMC) strategy. The considered system operates with agents having diverse dynamic characteristics, including linear and nonlinear dynamics. A distributed control law is designed to ensure consensus among all agents, facilitating synchronization of their positions and velocities. The proposed control approach leverages sliding mode control to achieve finite-time convergence of consensus errors while ensuring robustness against system heterogeneity. Lyapunov-based stability analysis confirms the theoretical convergence of the system. Numerical simulations validate the effectiveness of the control scheme in achieving second-order consensus in heterogeneous agent networks.

Motilal Nehru National Institute of Technology (IN)
Openalex Percentile: Top 95%
Distributed Control Multi-Agent Systems
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