157 citations · 551 across the 47 of their papers we have counts for
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Data-driven stabilizer design and closed-loop analysis of general nonlinear systems via Taylor's expansion
Meichen Guo, Claudio De Persis, Pietro Tesi
For data-driven control of nonlinear systems, the basis functions characterizing the dynamics are usually essential. In existing works, the basis functions are often carefully chos…
On the Certainty-Equivalence Approach to Direct Data-Driven LQR Design
Florian Dörfler, Pietro Tesi, Claudio De Persis
The linear quadratic regulator (LQR) problem is a cornerstone of automatic control, and it has been widely studied in the data-driven setting. The various data-driven approaches ca…
Data-driven stabilization of nonlinear polynomial systems with noisy data
Meichen Guo, Claudio De Persis, Pietro Tesi
In a recent paper we have shown how to learn controllers for unknown linear systems using finite-sized noisy data by solving linear matrix inequalities. In this note we extend this…
Willems' Fundamental Lemma for State-space Systems and its Extension to Multiple Datasets
Henk J. van Waarde, Claudio De Persis, M. Kanat Camlibel +1
Willems et al.'s fundamental lemma asserts that all trajectories of a linear system can be obtained from a single given one, assuming that a persistency of excitation condition hol…
Necessary and Sufficient Topological Conditions for Identifiability of Dynamical Networks
Henk J. van Waarde, Pietro Tesi, M. Kanat Camlibel
This paper deals with dynamical networks for which the relations between node signals are described by proper transfer functions and external signals can influence each of the node…
Topological Conditions for Identifiability of Dynamical Networks with Partial Node Measurements
Henk J. van Waarde, Pietro Tesi, M. Kanat Camlibel
This paper deals with dynamical networks for which the relations between node signals are described by proper transfer functions and external signals can influence each of the node…
Identifiability of Undirected Dynamical Networks: a Graph-Theoretic Approach
Henk J. van Waarde, Pietro Tesi, M. Kanat Camlibel
This paper deals with identifiability of undirected dynamical networks with single-integrator node dynamics. We assume that the graph structure of such networks is known, and aim t…
Quasi-Optimal Regulation of FlowNetworks with Input Constraints
Tjardo Scholten, Claudio De Persis, Pietro Tesi
In this work we consider a flow network for which the goal is to solve a practical optimal regulation problem in the presence of input saturation. Based on Lyapunov arguments we pr…