保护隐私的ADP用于对AVR的安全跟踪控制,以防止不可靠的通信
Kun Zhang1, Kezhen Han2, Zhijian Hu3
1School of Astronautics, Beihang University, Beijing, China.
Frontiers in neurorobotics
|February 13, 2025
概括
本研究介绍了使用自适应动态编程的自动驾驶汽车或机器人 (AVR) 的加密控制系统. 这种新的方法提高了安全性,并确保稳定的跟踪性能,即使在不可靠的通信.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 网络安全 网络安全
背景情况:
- 自动驾驶汽车和机器人 (AVR) 需要强大的跟踪控制系统.
- 车辆网络面临信息泄露和未经授权访问的挑战.
- 不可靠的通信可能会损害AVR跟踪性能.
研究的目的:
- 为AVRs开发一个加密的保证成本跟踪控制方案.
- 加强车辆网络系统对数据泄露的安全性.
- 在不可靠的通信条件下确保稳定的AVR跟踪.
主要方法:
- 使用了自适应动态编程技术.
- 开发了一个加密的保证成本政策代算法,集成加密/解密.
- 汉密尔顿 - 雅各比 - 贝尔曼方程在简化的单一网络框架内得到解决.
- 一个非二次数值函数解决了输入约束.
主要成果:
- 拟议的算法成功稳定了AVR跟踪系统.
- 信息泄露和未经授权的访问通过加密来缓解.
- 通过避免复杂的双网络结构,可以降低计算成本.
- 通过AVR系统案例研究验证了有效性.
结论:
- 开发的加密控制方案对AVR来说是有效和实用的.
- 该方法为自动驾驶系统的跟踪控制提供了安全稳定的解决方案.
- 这项工作有助于推进安全的自主导航.
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