Towards encrypted MPC for linear constrained systems

Moritz Schulze Darup; Adrian Redder; Iman Shames; Farhad Farokhi; Daniel Quevedo

doi:10.1109/LCSYS.2017.2779473

Towards encrypted MPC for linear constrained systems

Moritz Schulze Darup^*, Adrian Redder, Iman Shames, Farhad Farokhi, Daniel Quevedo

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

104 Citations (Scopus)

Abstract

We present an encrypted model predictive control (MPC) scheme for linear constrained systems. More precisely, we show that homomorphic encryption can be used to realize a secure and private cloud-based evaluation of an MPC if the corresponding piecewise affine control law is explicitly given.

Original language	English
Pages (from-to)	195-200
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	2
Issue number	2
DOIs	https://doi.org/10.1109/LCSYS.2017.2779473
Publication status	Published - Apr 2018
Externally published	Yes

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10.1109/LCSYS.2017.2779473

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title = "Towards encrypted MPC for linear constrained systems",

abstract = "We present an encrypted model predictive control (MPC) scheme for linear constrained systems. More precisely, we show that homomorphic encryption can be used to realize a secure and private cloud-based evaluation of an MPC if the corresponding piecewise affine control law is explicitly given.",

keywords = "Homomorphic encryption, Networked control systems, Predictive control for linear systems, Privacy, Security",

author = "{Schulze Darup}, Moritz and Adrian Redder and Iman Shames and Farhad Farokhi and Daniel Quevedo",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2018",

month = apr,

doi = "10.1109/LCSYS.2017.2779473",

language = "English",

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journal = "IEEE Control Systems Letters",

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AU - Schulze Darup, Moritz

AU - Redder, Adrian

AU - Shames, Iman

AU - Farokhi, Farhad

AU - Quevedo, Daniel

PY - 2018/4

Y1 - 2018/4

N2 - We present an encrypted model predictive control (MPC) scheme for linear constrained systems. More precisely, we show that homomorphic encryption can be used to realize a secure and private cloud-based evaluation of an MPC if the corresponding piecewise affine control law is explicitly given.

AB - We present an encrypted model predictive control (MPC) scheme for linear constrained systems. More precisely, we show that homomorphic encryption can be used to realize a secure and private cloud-based evaluation of an MPC if the corresponding piecewise affine control law is explicitly given.

KW - Homomorphic encryption

KW - Networked control systems

KW - Predictive control for linear systems

KW - Privacy

KW - Security

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U2 - 10.1109/LCSYS.2017.2779473

DO - 10.1109/LCSYS.2017.2779473

M3 - Article

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VL - 2

SP - 195

EP - 200

JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

IS - 2

ER -

Towards encrypted MPC for linear constrained systems

Abstract

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