most citedBeyond the fundamental lemma: from finite time series to linear system

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Active Informativity: Online Input Design for Data-Driven Control

Yishu Wang, Paolo Rapisarda, Jianquan Lu +1

We develop a unified framework for online input design in data-driven control from noisy data. We introduce a performance measure and analyze how such quality measure changes as ne…

math.OC2024

The shortest experiment for linear system identification

M. Kanat Camlibel, Henk J. van Waarde, Paolo Rapisarda

This paper is concerned with the following problem: given an upper bound of the state-space dimension and lag of a linear time-invariant system, design a sequence of inputs so that…

math.OC2024

A continuous-time fundamental lemma and its application in data-driven optimal control

Philipp Schmitz, Timm Faulwasser, Paolo Rapisarda +1

Data-driven control of discrete-time and continuous-time systems is of tremendous research interest. In this paper, we explore data-driven optimal control of continuous-time linear…

math.OC2024★ 2 cited

Beyond the fundamental lemma: from finite time series to linear system

Kanat Camlibel, Paolo Rapisarda

We state necessary and sufficient conditions to uniquely identify (modulo state isomorphism) a linear time-invariant minimal input-state-output system from finite input-output data…

eess.SY2024

An input-output continuous-time version of Willems' lemma

Victor G. Lopez, Matthias A. Müller, Paolo Rapisarda

We illustrate a novel version of Willems' lemma for data-based representation of continuous-time systems. The main novelties compared to previous works are two. First, the proposed…