Emily J. Griffis

16 papers Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs).
IEEE Trans. Autom. Control.
Emily J. Griffis, Omkar Sudhir Patil, Wanjiku A. Makumi, Warren E. Dixon
2025 J jnl
Adaptive Control via Lyapunov-Based Deep Long Short-Term Memory Networks.
IEEE Trans. Autom. Control.
Xuehui Shen, Emily J. Griffis, Wenyu Wu, Warren E. Dixon
2025 J jnl
Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control.
IEEE Access
Omkar Sudhir Patil, Duc M. Le, Emily J. Griffis, Warren E. Dixon
2025 J jnl
Optimization-Based Controllers for Passivity and Safety Constraints.
IEEE Trans. Autom. Control.
Hannah M. Sweatland, Axton Isaly, Emily J. Griffis, Warren E. Dixon
2024 J jnl
Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control.
CoRR
Omkar Sudhir Patil, Duc M. Le, Emily J. Griffis, Warren E. Dixon
2024 J jnl
Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Adaptive Observer.
IEEE Control. Syst. Lett.
Emily J. Griffis, Omkar Sudhir Patil, Rebecca G. Hart, Warren E. Dixon
2024 J jnl
Lyapunov-Based Physics-Informed Long Short-Term Memory (LSTM) Neural Network-Based Adaptive Control.
IEEE Control. Syst. Lett.
Rebecca G. Hart, Emily J. Griffis, Omkar Sudhir Patil, Warren E. Dixon
2023 J jnl
Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller.
CoRR
Omkar Sudhir Patil, Emily J. Griffis, Wanjiku A. Makumi, Warren E. Dixon
2023 — conf
Deep Lyapunov-Based Physics-Informed Neural Networks (DeLb-PINN) for Adaptive Control Design.
CDC
Rebecca G. Hart, Omkar Sudhir Patil, Emily J. Griffis, Warren E. Dixon
2023 J jnl
Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller.
CoRR
Saiedeh Akbari, Emily J. Griffis, Omkar Sudhir Patil, Warren E. Dixon
2023 J jnl
Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Control.
IEEE Control. Syst. Lett.
Emily J. Griffis, Omkar Sudhir Patil, Zachary I. Bell, Warren E. Dixon
2023 — conf
Passivity-Based Hybrid Systems Approach to Repetitive Learning Control for FES-Cycling with Control Input Saturation.
CDC
Hannah M. Sweatland, Emily J. Griffis, Victor H. Duenas, Warren E. Dixon
2022 — conf
Control Barrier Functions for Safe Admittance Control of a Rehabilitation Cycle for DMD.
CCTA
Emily J. Griffis, Wanjiku A. Makumi, Hannah M. Sweatland, Kimberly J. Stubbs, Tanja Taivassalo, Donovan J. Lott, Warren E. Dixon
2022 — conf
Deep Neural Network-Based Adaptive FES-Cycling Control: A Hybrid Systems Approach.
CDC
Emily J. Griffis, Axton Isaly, Duc M. Le, Warren E. Dixon
2022 — conf
Deep Residual Neural Network (ResNet)-Based Adaptive Control: A Lyapunov-Based Approach.
CDC
Omkar Sudhir Patil, Duc M. Le, Emily J. Griffis, Warren E. Dixon
2021 — conf
Closed-Loop Deep Neural Network-Based FES Control for Human Limb Tracking.
CDC
Emily J. Griffis, Duc M. Le, Kimberly J. Stubbs, Warren E. Dixon