On the Output Redundancy of LTI Systems: A Geometric Approach With Application to Privacy
Yang, G.
ORCID: 0000-0002-4826-6719, Gallo, A. J., Barboni, A. , Ferrari, R. M. G., Serrani, A. & Parisini, T. (2025).
On the Output Redundancy of LTI Systems: A Geometric Approach With Application to Privacy.
IEEE Transactions on Automatic Control, 70(11),
pp. 7509-7522.
doi: 10.1109/tac.2025.3579219
Abstract
This article examines the properties of output-redundant systems, that is, systems possessing a larger number of outputs than inputs, through the lense of the geometric approach of Wonham et al. We begin by formulating a simple output allocation synthesis problem, which involves “concealing” input information from a malicious eavesdropper having access to the system output, while still allowing for a legitimate user to reconstruct it. It is shown that the solvability of this problem requires the availability of a redundant set of outputs. This very problem is instrumental to unveiling the fundamental geometric properties of output-redundant systems, which form the basis for our subsequent constructions and results. As a direct application, we demonstrate how output allocation can be employed to effectively protect the input information from certain output eavesdroppers with guaranteed results.
| Publication Type: | Article |
|---|---|
| Additional Information: | © 2025 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Publisher Keywords: | Redundancy, Resource management, Linear systems, Sensors, Vectors, Sensor systems, Taxonomy, Measurement, Eavesdropping, Control systems |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | School of Science & Technology School of Science & Technology > Department of Computer Science |
| SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (1MB) | Preview
Export
Downloads
Downloads per month over past year
Metadata
Metadata