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Anti-Attack Event-Triggered Control for Nonlinear Multi-Agent Systems With Input Quantization
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DOI：10.1109/TNNLS.2022.3164881.png)
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Abstract
En 中文
In this article, an anti-attack event-triggered secure control scheme for a class of nonlinear multi-agent systems with input quantization is developed. With the help of neural networks approximating unknown nonlinear functions, unknown states are obtained by designing an adaptive neural state observer. Then, a relative threshold event-triggered control strategy is introduced to save communication resources including network bandwidth and computational capabilities. Furthermore, a quantizer is employed to provide sufficient accuracy under the requirement of a low transmission rate, which is represented by the so-called a hysteresis quantizer. Meanwhile, to resist attacks in the multi-agent network, a predictor is designed to record whether an edge is attacked or not. Through the Lyapunov analysis, the proposed secure control protocol can ensure that all the closed-loop signals remain bounded under attacks. Finally, the effectiveness of the designed scheme is verified by simulation results.
Keywords:
Quantization (signal)
Multi-agent systems
Hysteresis
Resists
Observers
System performance
Stability analysis
Denial of service (DoS) attacks
event-triggered control
input quantization
multi-agent systems
Journal
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8.9
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7.5K
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7.2W