Normalization and Synchronization of Networked Dynamical Descriptor System

In this paper, we address synchronization in networked dynamical descriptor systems (NDDS), where followers must synchronize with the leader’s state. We propose a novel distributed proportional-derivative (PD) feedback control design procedure to achieve this. Specifically, local distributed derivative feedback is used to increase the dynamical order of the global synchronization error dynamics, which initially lack sufficient order due to algebraic constraints. Additionally, local distributed proportional control ensures synchronization of the followers with the leader’s dynamics. Simulations are also presented to vindicate the theoretical claims.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3575773
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Normalization and Synchronization of Networked Dynamical Descriptor System

Dwaipayan Mukherjee, Debasattam Pal, Hemanta Hazarika
IEEE Control Systems Letters
Distributed Control Multi-Agent Systems
article

Normalization and Synchronization of Networked Dynamical Descriptor System

Dwaipayan Mukherjee, Debasattam Pal, Hemanta Hazarika
article en

Abstract

In this paper, we address synchronization in networked dynamical descriptor systems (NDDS), where followers must synchronize with the leader’s state. We propose a novel distributed proportional-derivative (PD) feedback control design procedure to achieve this. Specifically, local distributed derivative feedback is used to increase the dynamical order of the global synchronization error dynamics, which initially lack sufficient order due to algebraic constraints. Additionally, local distributed proportional control ensures synchronization of the followers with the leader’s dynamics. Simulations are also presented to vindicate the theoretical claims.

IEEE Control Systems LettersVol. 9
Indian Institute of Technology Bombay (IN)
National Research Foundation
Openalex Percentile: Top 87%
Distributed Control Multi-Agent Systems
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