Distributed Observer-Based Adaptive Fuzzy Consensus of Nonlinear Multiagent Systems Under DoS Attacks and Output
IEEE Transactions on Cybernetics
|September 23, 2022
Summary
This study addresses nonlinear multiagent systems (MASs) facing denial-of-service (DoS) attacks. A novel adaptive output-feedback control ensures system consensus despite edge attacks and sensor disturbances.
Area of Science:
- Control Theory
- Networked Systems
- Cybersecurity
Background:
- Nonlinear multiagent systems (MASs) are susceptible to denial-of-service (DoS) attacks targeting communication edges.
- Sensor disturbances degrade agent feedback accuracy, impacting observer performance.
- Asymmetric input saturation complicates controller design.
Purpose of the Study:
- To develop an adaptive output-feedback consensus control strategy for MASs under edge DoS attacks.
- To address sensor disturbances and asymmetric input saturation.
- To guarantee prescribed transient and steady-state performance.
Main Methods:
- Lyapunov stability theory and backstepping techniques.
- Dynamic surface control to mitigate complexity.
- Design of a feedback revision signal and an auxiliary signal for saturation.
Main Results:
- Consensus errors converge to small neighborhoods of the origin.
- All signals within the closed-loop system remain bounded.
- Demonstrated effectiveness via simulation results.
Conclusions:
- The proposed control scheme effectively achieves consensus in MASs under edge DoS attacks and disturbances.
- The method ensures robust performance and bounded system signals.
- Validated the approach's efficacy through simulations.
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