基于动态事件触发的分布式模型预测控制在DoS攻击下异质连接车辆排的异质连接车辆排
Hao Zeng1, Zehua Ye1, Dan Zhang1
1Research Center of Automation and Artificial Intelligence, Zhejiang University of Technology, Hangzhou, 310023, PR China.
ISA transactions
|July 21, 2024
概括
本研究介绍了一种强大的分布式模型预测控制 (DMPC),用于面临拒绝服务 (DoS) 攻击的联网车辆队 (CVP). 拟议的方法确保稳定的排控制,尽管通信中断和外部干扰.
科学领域:
- 控制系统工程 控制系统工程
- 网络化系统 网络化系统
- 网络安全 网络安全
背景情况:
- 联网车辆队 (CVP) 面临通信漏洞,特别是来自拒绝服务 (DoS) 攻击.
- 分布式模型预测控制 (DMPC) 是CVP的一个有希望的控制策略,但需要强大的机制来应对干扰.
- 现有的控制方法可能无法充分应对异质排队,DoS攻击和通信不对称的联合挑战.
研究的目的:
- 为异质CVP开发一个DMPC战略,使其能够抵御DoS攻击.
- 提高通信可靠性,降低CVP控制系统中的计算负载.
- 确保控制系统在竞争条件下的稳定性和可行性.
主要方法:
- 一个动态事件触发机制 (DETM) 旨在优化通信和计算.
- 实施了包补充机制,以在DoS攻击期间保持信息完整性.
- 强度约束被纳入DMPC算法,以处理外部干扰.
主要成果:
- 拟议的DMPC算法证明了递归可行性.
- 输入到状态的实用稳定性 (ISPS) 已被证明是CVP控制系统.
- 与现有方法相比,模拟结果验证了开发的算法的有效性和优越性.
结论:
- 新的DMPC方法有效地保护异构的CVP免受DoS攻击.
- 集成的DETM和包补充机制提高了系统的弹性和效率.
- 该研究证实了拟议的自动驾驶汽车系统控制策略的实际适用性.
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