抗边依赖拒绝服务攻击的多智能体级联滤波协同优化方法
By constructing a multi-agent cascaded filtering collaborative optimization method, the problem of insufficient smoothness of the optimization signal caused by edge-dependent DoS attacks and actuator failures in high-order nonlinear heterogeneous systems is solved, achieving high-precision and stable collaborative optimization control and reducing communication consumption.
CN122194711BActive Publication Date: 2026-07-17DALIAN MARITIME UNIVERSITY
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN MARITIME UNIVERSITY
- Filing Date
- 2026-05-18
- Publication Date
- 2026-07-17
Smart Images
Figure CN122194711B_ABST
Abstract
本发明公开了一种抗边依赖拒绝服务攻击的多智能体级联滤波协同优化方法，包括通过分布式事件触发原对偶优化器获取局部虚拟状态信号；通过构建级联参考滤波模块获取平滑参考信号；根据平滑参考信号与严格反馈非线性动力学模型定义递归跟踪误差；采用反步法根据递归跟踪误差构建多智能体系统中各阶的虚拟控制律；根据虚拟控制律获取包含未知模型参数与等效控制增益的多智能体系统的分步式自适应容错反步控制器，并结合构建的参数自适应更新律，实现对抗边依赖拒绝服务攻击的多智能体级联滤波协同优化。解决了现有方法在边依赖DoS攻击、执行器故障与事件触发通信复合约束下存在信号平滑度不足，难以实现高精度、稳定及低通信消耗的协同优化的问题。
Need to check novelty before this filing date? Find Prior Art