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在MPC下交换系统的隐私:一个隐私保护的滚动优化战略
IEEE transactions on cybernetics
|March 26, 2025
概括
本研究介绍了用于交换系统的隐私保护滚动优化策略 (PP-ROS). 它通过将噪声添加到预测和控制视界来保护数据的准确性,确保私有控制输入和系统输出.
科学领域:
- 控制系统工程 控制系统工程
- 网络安全 网络安全
- 应用数学 应用数学 应用数学
背景情况:
- 不同的隐私方法往往会增加传输数据的噪音,可能会损害控制系统的准确性.
- 数据准确性对于控制系统的性能至关重要.
研究的目的:
- 为交换系统提出一个新的隐私保护滚动优化策略 (PP-ROS).
- 为了应对在控制系统中确保隐私的同时保持数据准确性的挑战.
主要方法:
- 通过在预测和控制视界中添加拉普拉斯噪声来开发PP-ROS,而不是传输数据.
- 介绍了horizons的隐私定义,并设计了一个私人模型预测控制 (P-MPC) 控制器.
- 提供了证明和计算控制输入和系统输出隐私级别的方法.
主要成果:
- PP-ROS和P-MPC确保控制器参数,控制输入和系统输出的隐私.
- 与传统方法相比,将噪声添加到视界有效地保持了数据的准确性.
- 模拟示例展示了拟议战略的可用性和好处.
结论:
- 在交换系统中,PP-ROS和P-MPC为保护隐私的控制提供了可行的解决方案.
- 提出的方法有效地平衡了数据隐私与系统性能和准确性.
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