Controller Synthesis from Noisy-Input Noisy-Output Data

Autor:	Li, Lidong, Bisoffi, Andrea, De Persis, Claudio, Monshizadeh, Nima
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Systems and Control Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	We consider the problem of synthesizing a dynamic output-feedback controller for a linear system, using solely input-output data corrupted by measurement noise. To handle input-output data, an auxiliary representation of the original system is introduced. By exploiting the structure of the auxiliary system, we design a controller that robustly stabilizes all possible systems consistent with data. Notably, we also provide a novel solution to extend the results to generic multi-input multi-output systems. The findings are illustrated by numerical examples.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.02588 Zobrazit plný text záznamu View this record from Arxiv