Minimal time delivery of multiple robots. - Miguel Aguiar; Jorge Estrela da Silva; João Borges de Sousa (CDC, 2020)

Physics-informed Learning for Identification and State Reconstruction of Traffic Density. - Matthieu Barreau; Miguel Aguiar; John Liu; Karl Henrik Johansson (CDC, 2021)

Adaptive Sampling of Algal Blooms Using an Autonomous Underwater Vehicle and Satellite Imagery. - Joana Fonseca; Alexandre Rocha; Miguel Aguiar; Karl Henrik Johansson (CCTA, 2023)

Universal Approximation of Flows of Control Systems by Recurrent Neural Networks. - Miguel Aguiar; Amritam Das; Karl Henrik Johansson (CDC, 2023)

Learning Flow Functions from Data with Applications to Nonlinear Oscillators. - Miguel Aguiar; Amritam Das; Karl Henrik Johansson (CoRR, 2023)

Learning flow functions of spiking systems. - Miguel Aguiar; Amritam Das; Karl Henrik Johansson (L4DC, 2024)