This article examines the properties of outputredundant 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
On the Output Redundancy of LTI Systems: A Geometric Approach with Application to Privacy / Yang, G., Gallo, A.J., Barboni, A., Ferrari, R.M.G., Serrani, A., Parisini, T.. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 1558-2523. - ELETTRONICO. - 70:11(2025), pp. 7509-7522. [10.1109/TAC.2025.3579219]
On the Output Redundancy of LTI Systems: A Geometric Approach with Application to Privacy
T. Parisini
2025-01-01
Abstract
This article examines the properties of outputredundant 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 resultsPubblicazioni consigliate
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