文献类型：期刊文献

英文题名：Privacy Preservation by Public Design in Cloud-Based Cooperative LQG Control Systems

作者：Lin, Wenhao[1];Ni, Yuqing[2];Ren, Xiaoqiang[3];Yang, Wen[1];Yang, Chao[1]

机构：[1]East China Univ Sci & Technol, Dept Automat, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai, Peoples R China;[2]Jiangnan Univ, Sch Internet Things Engn, Key Lab Adv Proc Control Light Ind, Minist Educ, Wuxi, Peoples R China;[3]Shanghai Univ, Sch Mechatron Engn & Automat, Key Lab Marine Intelligent Unmanned Swarm Technol, Minist Educ, Shanghai, Peoples R China

年份：2025

外文期刊名：INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

收录：;EI(收录号：20250217656552);WOS:【SCI-EXPANDED(收录号:WOS:001391514900001)】；

基金：The work by Xiaoqiang Ren, Wen Yang, and Chao Yang is supported by the National Natural Science Foundation of China under Grant 62336005. The work by Yuqing Ni is supported by the National Natural Science Foundation of China under Grant 62303196, the Natural Science Foundation of Jiangsu Province of China under Grant BK20231036, and the Basic Research Funds of Wuxi Taihu Light Project under Grant K20221005.

语种：英文

外文关键词：cloud-based control; cooperative networked control systems; Kalman filter; privacy in networked control system

摘要：In this paper, we study a cooperative linear quadratic Gaussian (LQG) control system realized by a cloud-based structure, consisting of a user and a server. In this system, the user runs a plant to control and employ the server, sharing necessary information with it to obtain the optimal LQG control inputs. However, the user considers its state trajectories as private. Therefore, we propose a privacy scheme utilizing a public privacy processor, whose certain parameters are also open to the server. This scheme manages to make the server unable to directly access the states of the user, so that the user's privacy is preserved; meanwhile, the server's public knowledge of the privacy processor allows the user to have satisfactory performance of LQG control. We then analyze the performances of privacy preservation and LQG control. Lastly, we propose an optimization problem to analyze the trade-off between privacy and LQG control, which we solve using an efficient numerical method.