Neuro-Adaptive Cooperative Tracking Control for Nonlinear Multiagent Systems Against DoS Attacks

This paper studies the issue of adaptive cooperative tracking control for MASs in the presence of DoS attacks. The agents' communication structure is characterized by directed links, ensuring that at least one leader maintains a directed route to every follower despite the presence of attacks. Initially, a distributed observer is designed to enable each follower to precisely estimate the leader's information. Furthermore, the study utilizes the average dwell time method in conjunction with adaptive backstepping strategies to create a secure consensus controller, ensuring that the tracking error has asymptotically approached zero. Additionally, the detrimental effects of DoS attacks have been fully addressed and neutralized. Ultimately, simulation outcomes have validated the effectiveness of the proposed approach for achieving adaptive asymptotic tracking control.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865720
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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0.00
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article

Neuro-Adaptive Cooperative Tracking Control for Nonlinear Multiagent Systems Against DoS Attacks

Zhiyong Wang, Wei Wang, Yang Yu
Adaptive Control of Nonlinear Systems
article

Neuro-Adaptive Cooperative Tracking Control for Nonlinear Multiagent Systems Against DoS Attacks

Zhiyong Wang, Wei Wang, Yang Yu
article en

Abstract

This paper studies the issue of adaptive cooperative tracking control for MASs in the presence of DoS attacks. The agents' communication structure is characterized by directed links, ensuring that at least one leader maintains a directed route to every follower despite the presence of attacks. Initially, a distributed observer is designed to enable each follower to precisely estimate the leader's information. Furthermore, the study utilizes the average dwell time method in conjunction with adaptive backstepping strategies to create a secure consensus controller, ensuring that the tracking error has asymptotically approached zero. Additionally, the detrimental effects of DoS attacks have been fully addressed and neutralized. Ultimately, simulation outcomes have validated the effectiveness of the proposed approach for achieving adaptive asymptotic tracking control.

Liaoning University of Technology (CN)
Openalex Percentile: Top 67%
Adaptive Control of Nonlinear Systems
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Neuro-Adaptive Cooperative Tracking Control for Nonlinear Multiagent Systems Against DoS Attacks — Zhiyong Wang, Wei Wang, et al. · (2024) | TGRS Research Map | TGRS