998 citations · 2.2k across the 70 of their papers we have counts for
10 papers · 1 filter
Vibrational Stabilization of Cluster Synchronization in Oscillator Networks
Yuzhen Qin, Alberto Maria Nobili, Danielle S. Bassett +1
Cluster synchronization is of paramount importance for the normal functioning of numerous technological and natural systems. Deviations from normal cluster synchronization patterns…
Feedback linearization through the lens of data
C. De Persis, D. Gadginmath, F. Pasqualetti +1
Controlling nonlinear systems, especially when data are being used to offset uncertainties in the model, is hard. A natural approach when dealing with the challenges of nonlinear c…
Vibrational Stabilization of Complex Network Systems
Alberto Maria Nobili, Yuzhen Qin, Carlo Alberto Avizzano +2
Many natural and man-made network systems need to maintain certain patterns, such as working at equilibria or limit cycles, to function properly. Thus, the ability to stabilize suc…
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak +1
In numerous robotics and mechanical engineering applications, among others, data is often constrained on smooth manifolds due to the presence of rotational degrees of freedom. Comm…
Model-based and Data-based Dynamic Output Feedback for Externally Positive Systems
Abed AlRahman Al Makdah, Fabio Pasqualetti
In this work, we derive dynamic output-feedback controllers that render the closed-loop system externally positive. We begin by expressing the class of discrete-time, linear, time-…
On the Sample Complexity of the Linear Quadratic Gaussian Regulator
Abed AlRahman Al Makdah, Fabio Pasqualetti
In this paper we provide direct data-driven expressions for the Linear Quadratic Regulator (LQR), the Kalman filter, and the Linear Quadratic Gaussian (LQG) controller using a fini…
Data-driven Eigenstructure Assignment for Sparse Feedback Design
Federico Celi, Giacomo Baggio, Fabio Pasqualetti
This paper presents a novel approach for solving the pole placement and eigenstructure assignment problems through data-driven methods. By using open-loop data alone, the paper sho…
Imitation and Transfer Learning for LQG Control
Taosha Guo, Abed AlRahman Al Makdah, Vishaal Krishnan +1
In this paper we study an imitation and transfer learning setting for Linear Quadratic Gaussian (LQG) control, where (i) the system dynamics, noise statistics and cost function are…
Stochastic Contextual Bandits with Long Horizon Rewards
Yuzhen Qin, Yingcong Li, Fabio Pasqualetti +2
The growing interest in complex decision-making and language modeling problems highlights the importance of sample-efficient learning over very long horizons. This work takes a ste…
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems
Yiting Chen, Ana M. Ospina, Fabio Pasqualetti +1
This paper presents a system identification framework -- inspired by multi-task learning -- to estimate the dynamics of a given number of linear time-invariant (LTI) systems jointl…