Rebecca G. Hart

According to our database, Rebecca G. Hart authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach.

Rebecca G. Hart, Omkar Sudhir Patil, Zachary I. Bell, Warren E. Dixon

CoRR, May, 2025

Bounds on Deep Neural Network Partial Derivatives with Respect to Parameters.

Omkar Sudhir Patil, Brandon C. Fallin, Cristian F. Nino, Rebecca G. Hart, Warren E. Dixon

CoRR, March, 2025

2024

Lyapunov-Based Physics-Informed Long Short-Term Memory (LSTM) Neural Network-Based Adaptive Control.

Rebecca G. Hart, Emily J. Griffis, Omkar Sudhir Patil, Warren E. Dixon

IEEE Control. Syst. Lett., 2024

Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Adaptive Observer.

Emily J. Griffis, Omkar Sudhir Patil, Rebecca G. Hart, Warren E. Dixon

IEEE Control. Syst. Lett., 2024

2023

Deep Lyapunov-Based Physics-Informed Neural Networks (DeLb-PINN) for Adaptive Control Design.

Rebecca G. Hart, Omkar Sudhir Patil, Emily J. Griffis, Warren E. Dixon

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