Miguel Aguiar

According to our database, Miguel Aguiar authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

RHYME-XT: A Neural Operator for Spatiotemporal Control Systems.

Marijn Ruiter, Miguel Aguiar, Jake Rap, Karl Henrik Johansson, Amritam Das

CoRR, March, 2026

2025

Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features.

Yulun Wu, Miguel Aguiar, Karl Henrik Johansson, Matthieu Barreau

CoRR, October, 2025

2024

Learning flow functions of spiking systems.

Miguel Aguiar, Amritam Das, Karl Henrik Johansson

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Learning Flow Functions from Data with Applications to Nonlinear Oscillators.

Miguel Aguiar, Amritam Das, Karl Henrik Johansson

CoRR, 2023

Universal Approximation of Flows of Control Systems by Recurrent Neural Networks.

Miguel Aguiar, Amritam Das, Karl Henrik Johansson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Adaptive Sampling of Algal Blooms Using an Autonomous Underwater Vehicle and Satellite Imagery.

Joana Fonseca, Alexandre Rocha, Miguel Aguiar, Karl Henrik Johansson

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2021

Physics-informed Learning for Identification and State Reconstruction of Traffic Density.

Matthieu Barreau, Miguel Aguiar, John Liu, Karl Henrik Johansson

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Minimal time delivery of multiple robots.

Miguel Aguiar, Jorge Estrela da Silva, João Borges de Sousa

Proceedings of the 59th IEEE Conference on Decision and Control, 2020