Emily J. Griffis

Orcid: 0009-0004-7684-1444

According to our database1, Emily J. Griffis authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Lyapunov-Based Physics-Informed Long Short-Term Memory (LSTM) Neural Network-Based Adaptive Control.
IEEE Control. Syst. Lett., 2024

Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Adaptive Observer.
IEEE Control. Syst. Lett., 2024

Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control.
CoRR, 2024

2023
Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Control.
IEEE Control. Syst. Lett., 2023

Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller.
CoRR, 2023

Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller.
CoRR, 2023

Passivity-Based Hybrid Systems Approach to Repetitive Learning Control for FES-Cycling with Control Input Saturation.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Deep Lyapunov-Based Physics-Informed Neural Networks (DeLb-PINN) for Adaptive Control Design.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Deep Residual Neural Network (ResNet)-Based Adaptive Control: A Lyapunov-Based Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Deep Neural Network-Based Adaptive FES-Cycling Control: A Hybrid Systems Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Control Barrier Functions for Safe Admittance Control of a Rehabilitation Cycle for DMD.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
Closed-Loop Deep Neural Network-Based FES Control for Human Limb Tracking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021


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