2 citations · 3 across the 8 of their papers we have counts for
8 papers
Time-Varying Perturbations of Contractive Systems With an Application to Safe Stabilization
Andreas Oliveira, Arya Honarpisheh, Mustafa Bozdag +1
Perturbation theory for asymptotically stable systems has received sustained attention, leading to many criteria that preserve stability under uncertainty. A limitation of classica…
Electrical and thermal magnetotransport in altermagnetic CrSb
Sajal Naduvile Thadathil, Christoph Müller, Reza Firouzmandi +20
Chromium antimonide has emerged as a key material platform for studying altermagnetism because of its simple binary composition, high Néel temperature, and semimetallic electronic…
Robust Data-Driven Receding Horizon Control
Jian Zheng, Sahand Kiani, Mario Sznaier +1
This paper presents a data-driven receding horizon control framework for discrete-time linear systems that guarantees robust performance in the presence of bounded disturbances. Un…
Robust Data-Driven Receding-Horizon Control for LQR with Input Constraints
Jian Zheng, Mario Sznaier
This letter presents a robust data-driven receding-horizon control framework for the discrete time linear quadratic regulator (LQR) with input constraints. Unlike existing data-dri…
Modeling Adaptive Tracking of Predictable Stimuli in Electric Fish
Yu Yang, Andreas Oliveira, Louis L. Whitcomb +3
The weakly electric fish \emph{Eigenmannia virescens} naturally swims back and forth to stay within a moving refuge, tracking its motion using visual and electrosensory feedback. P…
Real-Time Adaptive Motion Planning via Point Cloud-Guided, Energy-Based Diffusion and Potential Fields
Wondmgezahu Teshome, Kian Behzad, Octavia Camps +3
Motivated by the problem of pursuit-evasion, we present a motion planning framework that combines energy-based diffusion models with artificial potential fields for robust real tim…
Convex Data-Driven Contraction With Riemannian Metrics
Andreas Oliveira, Jian Zheng, Mario Sznaier
The growing complexity of dynamical systems and advances in data collection necessitates robust data-driven control strategies without explicit system identification and robust syn…
On the Hardness of Learning to Stabilize Linear Systems
Xiong Zeng, Zexiang Liu, Zhe Du +2
Inspired by the work of Tsiamis et al. \cite{tsiamis2022learning}, in this paper we study the statistical hardness of learning to stabilize linear time-invariant systems. Hardness…