Optimal sensor-controller codesign for privacy in dynamical systems

Ruoxi Jia, Roy Dong, Shankar Sastry, Costas Spanos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study the problem of jointly designing the sensor and controller for a dynamical system driven by a privacy-sensitive input process. This problem is motivated by the modern thermostat control example where home's occupancy is continually monitored and leveraged to tailor thermostat behaviors for better energy savings and comfort, which, however, arouses users' concern over privacy. We start by quantifying the instantaneous privacy loss in a control system under standard inference attacks. We present the closed form of privacy loss for linear Gaussian systems and propose a sampling-based method to approximate privacy loss for general dynamical systems. The optimal control and sensor query strategy for a private-input-driven system is then characterized, and we further prove the validity of separation principle for a linear system with Gaussian disturbance and quadratic cost under the privacy loss proposed in this paper. We close the paper by demonstrating the flexibility of the joint sensor-controller policy in the occupancy-based thermostat control example and providing some insights on the tradeoff among energy, comfort, and privacy.

Original languageEnglish (US)
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4004-4011
Number of pages8
ISBN (Electronic)9781509028733
DOIs
StatePublished - Jan 18 2018
Externally publishedYes
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: Dec 12 2017Dec 15 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period12/12/1712/15/17

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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