Design of Robust, Adaptive and Privacy-Preserving Control Networks

控制网络将嵌入我们环境中的传感器、执行器和计算设备连接起来，大大提高了我们监控和调节物理世界的能力。随着这些网络变得更加普遍，其规模和复杂性增加，有必要进一步发展其原则性设计、部署和验证的科学基础。实际上，尽管最近在网络化控制系统领域取得了进展，但是用于合成控制系统的模型与在其上实现控制系统的嵌入式平台的复杂性之间的差距正在增长。这种差距导致过于保守的设计和快速增加的成本和延迟与系统开发，测试和维护。这些无处不在的嵌入式网络的部署的第二个障碍是阻力，由于合理的隐私问题，个人用户谁可以从他们最受益，例如通过安装智能电表的电力控制网络。

Control networks connect sensors, actuators and computing devices embedded in our environment to vastly improve our abilities to monitor and regulate the physical world. As these networks become more pervasive and their size and complexity increase, there is a need to further develop the scientific foundations for their principled design, deployment and validation. Indeed, despite recent advances in the field of networked control systems, the gap between the models used to synthesize control systems and the complexity of the embedded platforms on which they are implemented is growing. This gap leads to overly conservative designs and fast increasing costs and delays associated to system development, testing, and maintenance. A second obstacle to the deployment of these ubiquitous embedded networks is the resistance, due to justified privacy concerns, of the individual users who could most benefit from them, as illustrated for example by the installation of smart meters for power control networks.