Composite Anti‐Disturbance Memory Consensus Control of Nonlinear Multi‐agent Systems Under Periodic DoS Attacks

ABSTRACT In this article, a new composite consensus strategy for a class of nonlinear multi‐agent systems (MASs) under denial‐of‐service (DoS) attacks with two different kinds of disturbance has been presented, based on performance approach and a disturbance observer‐based method. In this case, one of the disturbances is typically norm‐bound, but the other is caused by an exogenous system acting via the input channel. The attacks are considered to occur on a periodic basis, with the data being hacked by the attackers in the communication channel. The main goal of this article is to evaluate the disturbance in the input signal, even in the midst of the attack, where the output is incorporated with the memory feedback control rule. Moreover, the information regarding the system's past and present states is used to design the control strategy. A sufficient condition is derived by introducing the Lyapunov–Krasovskii functional (LKF) based stability theory, ensuring consensus for the resulting closed‐loop system. The superiority and reliability of the established theoretical results are demonstrated by two numerical examples.

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Publication Details

Journal
Optimal Control Applications and Methods
Published
2026-01-27
DOI
https://doi.org/10.1002/oca.70062
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Composite Anti‐Disturbance Memory Consensus Control of Nonlinear Multi‐agent Systems Under Periodic DoS Attacks

Mani Mounika Devi, Natarajan Sakthivel, Coimbatore Annamalai Suruthi Sri
Optimal Control Applications and Methods
Distributed Control Multi-Agent Systems
article

Composite Anti‐Disturbance Memory Consensus Control of Nonlinear Multi‐agent Systems Under Periodic DoS Attacks

Mani Mounika Devi, Natarajan Sakthivel, Coimbatore Annamalai Suruthi Sri
article en

Abstract

ABSTRACT In this article, a new composite consensus strategy for a class of nonlinear multi‐agent systems (MASs) under denial‐of‐service (DoS) attacks with two different kinds of disturbance has been presented, based on performance approach and a disturbance observer‐based method. In this case, one of the disturbances is typically norm‐bound, but the other is caused by an exogenous system acting via the input channel. The attacks are considered to occur on a periodic basis, with the data being hacked by the attackers in the communication channel. The main goal of this article is to evaluate the disturbance in the input signal, even in the midst of the attack, where the output is incorporated with the memory feedback control rule. Moreover, the information regarding the system's past and present states is used to design the control strategy. A sufficient condition is derived by introducing the Lyapunov–Krasovskii functional (LKF) based stability theory, ensuring consensus for the resulting closed‐loop system. The superiority and reliability of the established theoretical results are demonstrated by two numerical examples.

Optimal Control Applications and Methods
Bharathiar University (IN), Institute of Engineering (NP)
Peace, Justice and strong institutions
Openalex Percentile: Top 80%
Distributed Control Multi-Agent Systems
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Composite Anti‐Disturbance Memory Consensus Control of Nonlinear Multi‐agent Systems Under Periodic DoS Attacks — Mani Mounika Devi, Natarajan Sakthivel, et al. · Optimal Control Applications and Methods (2026) | TGRS Research Map | TGRS