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Event-Based Dynamic Quantized Control for Bipartite Consensus
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AI
DOI：10.1109/TSMC.2024.3514697.png)
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Abstract
En 中文
This article investigates secure bipartite consensus control of nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks, and designs an event-based dynamic quantized sliding mode control scheme. In order to ensure the stability of MASs in the process of achieving bipartite consensus, combined with the online adjustment strategy of quantitative sensitivity parameters and the designed event-triggered mechanism, the constraints of quantitative measurement saturation parameters and event-triggered threshold parameters are given. Moreover, it is proved that Zeno behavior does not occur at the zoom-out/zoom-in stage. Then, combined with reasonable assumptions about the frequency and duration of DoS attacks, appropriate controller parameters are redesigned, and the stability of the system is proved by Lyapunov stability theory and mathematical induction. Finally, the effectiveness of the proposed method is illustrated by a simulation example.
Keywords:
Quantization (signal)
Event detection
Sensitivity
Nonlinear dynamical systems
Consensus control
Robot sensing systems
Eigenvalues and eigenfunctions
Dynamic scheduling
Denial-of-service attack
Data communication
Bipartite consensus
denial-of-service (DoS) attacks
dynamic quantizer
event-triggered scheme
nonlinear multiagent systems (MASs)
Journal
IF:
10.5
Papers:
1.1W
Citations:
5.0W
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