Omkar Sudhir Patil

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Adaptive Control

Exponential Stability

Top Venues

IEEE Control. Syst. Lett.

Publications

Emily J. Griffis, Omkar Sudhir Patil, Rebecca G. Hart, Warren E. Dixon
Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Adaptive Observer. IEEE Control. Syst. Lett. 8 (2024)
Axton Isaly, Omkar Sudhir Patil, Hannah M. Sweatland, Ricardo G. Sanfelice, Warren E. Dixon
Adaptive Safety with a RISE-Based Disturbance Observer. IEEE Trans. Autom. Control. 69 (7) (2024)
Rebecca G. Hart, Emily J. Griffis, Omkar Sudhir Patil, Warren E. Dixon
Lyapunov-Based Physics-Informed Long Short-Term Memory (LSTM) Neural Network-Based Adaptive Control. IEEE Control. Syst. Lett. 8 (2024)
Hannah M. Sweatland, Omkar Sudhir Patil, Warren E. Dixon
Adaptive Deep Neural Network-Based Control Barrier Functions. CoRR (2024)
Omkar Sudhir Patil, Duc M. Le, Emily J. Griffis, Warren E. Dixon
Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control. CoRR (2024)
Cristian F. Nino, Omkar Sudhir Patil, Jhyv N. Philor, Zachary I. Bell, Warren E. Dixon
Deep Adaptive Indirect Herding of Multiple Target Agents with Unknown Interaction Dynamics. CDC (2023)
Cristian F. Nino, Omkar Sudhir Patil, Warren E. Dixon
Second-Order Heterogeneous Multi-Agent Target Tracking Without Relative Velocities. IEEE Control. Syst. Lett. 7 (2023)
Omkar Sudhir Patil, Emily J. Griffis, Wanjiku A. Makumi, Warren E. Dixon
Composite Adaptive Lyapunov-Based Deep Neural Network (Lb-DNN) Controller. CoRR (2023)
Rebecca G. Hart, Omkar Sudhir Patil, Emily J. Griffis, Warren E. Dixon
Deep Lyapunov-Based Physics-Informed Neural Networks (DeLb-PINN) for Adaptive Control Design. CDC (2023)
Saiedeh Akbari, Emily J. Griffis, Omkar Sudhir Patil, Warren E. Dixon
Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller. CoRR (2023)
Emily J. Griffis, Omkar Sudhir Patil, Zachary I. Bell, Warren E. Dixon
Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Control. IEEE Control. Syst. Lett. 7 (2023)
Omkar Sudhir Patil, Axton Isaly, Bin Xian, Warren E. Dixon
Exponential Stability With RISE Controllers. IEEE Control. Syst. Lett. 6 (2022)
Omkar Sudhir Patil, Duc M. Le, Max L. Greene, Warren E. Dixon
Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network. IEEE Control. Syst. Lett. 6 (2022)
Duc M. Le, Omkar Sudhir Patil, Cristian F. Nino, Warren E. Dixon
Accelerated Gradient Approach For Neural Network Adaptive Control Of Nonlinear Systems. CDC (2022)
Omkar Sudhir Patil, Duc M. Le, Emily J. Griffis, Warren E. Dixon
Deep Residual Neural Network (ResNet)-Based Adaptive Control: A Lyapunov-Based Approach. CDC (2022)
Omkar Sudhir Patil, Runhan Sun, Shubhendu Bhasin, Warren E. Dixon
Adaptive Control of Time-Varying Parameter Systems With Asymptotic Tracking. IEEE Trans. Autom. Control. 67 (9) (2022)
Duc M. Le, Omkar Sudhir Patil, Patrick M. Amy, Warren E. Dixon
Integral Concurrent Learning-Based Accelerated Gradient Adaptive Control of Uncertain Euler-Lagrange Systems. ACC (2022)
Omkar Sudhir Patil, Kimberly J. Stubbs, Patrick M. Amy, Warren E. Dixon
Exponential Stability with RISE Controllers for Uncertain Nonlinear Systems with Unknown Time-Varying State Delays. CDC (2022)
Axton Isaly, Omkar Sudhir Patil, Ricardo G. Sanfelice, Warren E. Dixon
Adaptive Safety with Multiple Barrier Functions Using Integral Concurrent Learning. ACC (2021)
Omkar Sudhir Patil, Runhan Sun, Shubhendu Bhasin, Warren E. Dixon
Adaptive Control of Time-Varying Parameter Systems with Asymptotic Tracking. CoRR (2020)
Ranjan Dasgupta, Sayan Basu Roy, Omkar Sudhir Patil, Shubhendu Bhasin
A Singularity-free Hierarchical Nonlinear Quad-Rotorcraft Control using Saturation and Barrier Lyapunov Function. ACC (2019)