用于隐私保护PID调优即服务的加密极值搜索
Encrypted extremum seeking for privacy-preserving PID tuning as-a-Service
摘要：
无线通信为控制提供了许多好处，例如大大降低了部署成本、更高的灵活性以及更容易的数据访问。因此，智能和无线传感器和执行器在工业中的应用越来越多也就不足为奇了。有了这些增强的可能性，令人兴奋的新技术，如控制即服务，其中（例如）基于输入输出数据的控制器设计或调整可以外包给云或移动终端。然而，这意味着敏感的工厂信息可能会被服务提供商或可能的攻击者获得。在此背景下，我们在这里专注于保护隐私的最佳PID整定即服务。特别是，我们结合同态加密与极值搜索，以提供一个纯粹的数据驱动和保密的调整算法。加密实现需要对已建立的极值搜索器进行多次调整。这些包括相对参数更新，随机梯度近似，和归一化的目标函数。因此，如各种数值例子所示，所提出的加密极值搜索器能够为各种各样的植物调整PID控制器，而不会过于保守。
英文摘要：
Wireless communication offers many benefits for control such as substantially reduced deployment costs, higher flexibility, as well as easier data access. It is thus not surprising that smart and wireless sensors and actuators are increasingly used in industry. With these enhanced possibilities, exciting new technologies such as Control-as-a-Service arise, where (for example) controller design or tuning based on input-output-data can be outsourced to a cloud or mobile device. This implies, however, that sensitive plant information may become available to service providers or, possibly, attackers. Against this background, we focus on privacy-preserving optimal PID tuning as-a-Service here. In particular, we combine homomorphic encryption with extremum seeking in order to provide a purely data-driven and confidential tuning algorithm. The encrypted realization requires several adaptions of established extremum seekers. These encompass relative parameter updates, stochastic gradient approximations, and a normalized objective function. As a result, and as illustrated by various numerical examples, the proposed encrypted extremum seeker is able to tune PID controllers for a wide variety of plants without being too conservative.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
