Omkar Sudhir Patil

According to our database, Omkar Sudhir Patil authored at least 33 papers between 2019 and 2025.

Collaborative distances:

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

2025

Saturated RISE Controllers With Exponential Stability Guarantees: A Projected Dynamical Systems Approach.

Omkar Sudhir Patil, Rushikesh Kamalapurkar, Warren E. Dixon

IEEE Trans. Autom. Control., July, 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

Accelerated Gradient Approach For Deep Neural Network-Based Adaptive Control of Unknown Nonlinear Systems.

Duc M. Le, Omkar Sudhir Patil, Cristian F. Nino, Warren E. Dixon

IEEE Trans. Neural Networks Learn. Syst., April, 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

Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems.

Brandon C. Fallin, Cristian F. Nino, Omkar Sudhir Patil, Zachary I. Bell, Warren E. Dixon

CoRR, March, 2025

Decentralized RISE-based Control for Exponential Heterogeneous Multi-Agent Target Tracking of Second-Order Nonlinear Systems.

Cristian F. Nino, Omkar Sudhir Patil, Sage C. Edwards, Warren E. Dixon

CoRR, March, 2025

Online ResNet-Based Adaptive Control for Nonlinear Target Tracking.

Cristian F. Nino, Omkar Sudhir Patil, Marla R. Eisman, Warren E. Dixon

CoRR, March, 2025

Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks.

Cristian F. Nino, Omkar Sudhir Patil, Christopher D. Petersen, Sean Phillips, Warren E. Dixon

CoRR, January, 2025

Online ResNet-Based Adaptive Control for Nonlinear Target Tracking.

Cristian F. Nino, Omkar Sudhir Patil, Jordan C. Insinger, Marla R. Eisman, Warren E. Dixon

IEEE Control. Syst. Lett., 2025

Distributed RISE-Based Control for Exponential Heterogeneous Multi-Agent Target Tracking of Second-Order Nonlinear Systems.

Cristian F. Nino, Omkar Sudhir Patil, Sage C. Edwards, Warren E. Dixon

IEEE Control. Syst. Lett., 2025

Lyapunov-based adaptive deep system identification for approximate dynamic programming.

Wanjiku A. Makumi, Omkar Sudhir Patil, Warren E. Dixon

Autom., 2025

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

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

IEEE Access, 2025

2024

Adaptive Safety with a RISE-Based Disturbance Observer.

Axton Isaly, Omkar Sudhir Patil, Hannah M. Sweatland, Ricardo G. Sanfelice, Warren E. Dixon

IEEE Trans. Autom. Control., July, 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

Lyapunov-Based Deep Neural Networks for Adaptive Control of Stochastic Nonlinear Systems.

Saiedeh Akbari, Cristian F. Nino, Omkar Sudhir Patil, Warren E. Dixon

CoRR, 2024

Adaptive Deep Neural Network-Based Control Barrier Functions.

Hannah M. Sweatland, Omkar Sudhir Patil, Warren E. Dixon

CoRR, 2024

Distributed Target Tracking under Partial Feedback using Lyapunov-based Deep Neural Networks.

Cristian F. Nino, Omkar Sudhir Patil, Sage C. Edwards, Zachary I. Bell, Warren E. Dixon

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Second-Order Heterogeneous Multi-Agent Target Tracking Without Relative Velocities.

Cristian F. Nino, Omkar Sudhir Patil, Warren E. Dixon

IEEE Control. Syst. Lett., 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

Deep Adaptive Indirect Herding of Multiple Target Agents with Unknown Interaction Dynamics.

Cristian F. Nino, Omkar Sudhir Patil, Jhyv N. Philor, Zachary I. Bell, 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

Adaptive Control of Time-Varying Parameter Systems With Asymptotic Tracking.

Omkar Sudhir Patil, Runhan Sun, Shubhendu Bhasin, Warren E. Dixon

IEEE Trans. Autom. Control., 2022

Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network.

Omkar Sudhir Patil, Duc M. Le, Max L. Greene, Warren E. Dixon

IEEE Control. Syst. Lett., 2022

Exponential Stability With RISE Controllers.

Omkar Sudhir Patil, Axton Isaly, Bin Xian, Warren E. Dixon

IEEE Control. Syst. Lett., 2022

Exponential Stability with RISE Controllers for Uncertain Nonlinear Systems with Unknown Time-Varying State Delays.

Omkar Sudhir Patil, Kimberly J. Stubbs, Patrick M. Amy, Warren E. Dixon

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

Accelerated Gradient Approach For Neural Network Adaptive Control Of Nonlinear Systems.

Duc M. Le, Omkar Sudhir Patil, Cristian F. Nino, Warren E. Dixon

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

Integral Concurrent Learning-Based Accelerated Gradient Adaptive Control of Uncertain Euler-Lagrange Systems.

Duc M. Le, Omkar Sudhir Patil, Patrick M. Amy, Warren E. Dixon

Proceedings of the American Control Conference, 2022

2021

Adaptive Safety with Multiple Barrier Functions Using Integral Concurrent Learning.

Axton Isaly, Omkar Sudhir Patil, Ricardo G. Sanfelice, Warren E. Dixon

Proceedings of the 2021 American Control Conference, 2021

2019

A Singularity-free Hierarchical Nonlinear Quad-Rotorcraft Control using Saturation and Barrier Lyapunov Function.

Ranjan Dasgupta, Sayan Basu Roy, Omkar Sudhir Patil, Shubhendu Bhasin

Proceedings of the 2019 American Control Conference, 2019