All Stabilizing and Concealing Gaussian Type Controllers for Linear Scalar Systems

被引：0

作者：

Sato, Kazuhiro ^{[1
]}

Azuma, Shun-ichi ^{[1
]}

机构：

[1] Kyoto Univ, Dept Syst Sci, Grad Sch Informat, Kyoto 6068501, Japan

来源：

2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC) | 2016年

基金：

日本科学技术振兴机构;

关键词：

PRIVACY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to conceal the information of the state of a given system, this paper adds an artificial noise called a privacy input to the state. The privacy input is designed as a Gaussian random variable with the mean zero and the time varying variance, i.e., the variance is a design variable. In order to measure confidentiality of the state, the paper uses the mutual information of the state and the output which is the perturbed state by the privacy input. The article formulates a problem which finds all controllers such that a given linear scalar system is mean square asymptotically stable and satisfies a given confidential level of the state. Simulation results demonstrate that solutions of the problem are useful to conceal the information of the transient state.

引用

页码：2861 / 2866

页数：6