Conversion of Controllers to have Integer State Matrix for Encrypted Control: Non-Minimal Order Approach

Joowon Lee, Donggil Lee, Seungbeom Lee, Junsoo Kim, Hyungbo Shim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To implement an encrypted dynamic controller based on homomorphic encryption that operates for an infinite time horizon, it is essential for every component of the controller's state matrix to be an integer. In this paper, we tackle the challenge of converting a pre-designed controller into a new one with an integer state matrix, while preserving its control performance. This enables encrypted dynamic systems to be realized without re-encryption and approximation of control parameters. To achieve this, we allow the order of the controller to be increased so that the resulting closed-loop system becomes a non-minimal realization of the original closed-loop, without losing internal stability. Two approaches are proposed to design such controller with an integer state matrix. The first approach is to design the new controller as an estimator of the original closed-loop system, and the conditions on the estimator gain are derived. Our second approach is to formulate a problem of finding certain polynomials, whose solution leads to the design of the new controller. In a special case when the numerator of the plant transfer function is a constant, we provide a constructive method to obtain such solution.

Original languageEnglish
Title of host publication2023 62nd IEEE Conference on Decision and Control, CDC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5091-5096
Number of pages6
ISBN (Electronic)9798350301243
DOIs
StatePublished - 2023
Event62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, Singapore
Duration: 13 Dec 202315 Dec 2023

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference62nd IEEE Conference on Decision and Control, CDC 2023
Country/TerritorySingapore
CitySingapore
Period13/12/2315/12/23

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