Emily J. Griffis

According to our database, Emily J. Griffis authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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

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

Emily J. Griffis, Omkar Sudhir Patil, Zachary I. Bell, Warren E. Dixon

IEEE Control. Syst. Lett., 2023

Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller.

Omkar Sudhir Patil, Emily J. Griffis, Wanjiku A. Makumi, Warren E. Dixon

CoRR, 2023

Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller.

Saiedeh Akbari, Emily J. Griffis, Omkar Sudhir Patil, Warren E. Dixon

CoRR, 2023

Passivity-Based Hybrid Systems Approach to Repetitive Learning Control for FES-Cycling with Control Input Saturation.

Hannah M. Sweatland, Emily J. Griffis, Victor H. Duenas, Warren E. Dixon

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

2022

Deep Residual Neural Network (ResNet)-Based Adaptive Control: A Lyapunov-Based Approach.

Omkar Sudhir Patil, Duc M. Le, Emily J. Griffis, Warren E. Dixon

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Deep Neural Network-Based Adaptive FES-Cycling Control: A Hybrid Systems Approach.

Emily J. Griffis, Axton Isaly, Duc M. Le, Warren E. Dixon

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Control Barrier Functions for Safe Admittance Control of a Rehabilitation Cycle for DMD.

Emily J. Griffis, Wanjiku A. Makumi, Hannah M. Sweatland, Kimberly J. Stubbs, Tanja Taivassalo, Donovan J. Lott, Warren E. Dixon

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

Closed-Loop Deep Neural Network-Based FES Control for Human Limb Tracking.

Emily J. Griffis, Duc M. Le, Kimberly J. Stubbs, Warren E. Dixon

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