NN-Based Event-Triggered Protocol for NCSs Under DoS and Unknown Deception Attacks

作者：Xin Wang, Jiangfeng Wang, Jun Cheng, Michael Basin, Dan Zhang, Yu Fu · 发表于：IEEE Transactions on Cybernetics · 年份：2025 · DOI：10.1109/tcyb.2025.3607980 · 被引用次数：4 · 研究领域：Distributed systems and fault tolerance、Energy Efficient Wireless Sensor Networks、Mobile Ad Hoc Networks

This article studies the input-to-state stability (ISS) problem of networked control systems (NCSs) subject to both Denial-of-Service (DoS) and unknown deception attacks (DAs). A neural network (NN)-based resilient event-triggered control protocol (RETCP) is first presented to mitigate resource constraints and the adverse effects of cyber attacks, where the NN technology is leveraged to neutralize and approximate the malicious data injected by unknown DAs. Then, we develop a new predictor to compensate for lost signals of NCSs during the DoS threats, so that the NCSs can further tolerate more unfavorable DoS and unknown DAs. It is shown that the resulting NCSs with the designed novel NN-based controller can achieve ISS under the complex attacks. Finally, experimental evaluations are conducted for an uncrewed ground vehicle (UGV) to verify efficacy of the proposed intelligent control protocols.