A Singularity-free Hierarchical Nonlinear Quad-Rotorcraft Control using Saturation and Barrier Lyapunov Function. - Ranjan Dasgupta; Sayan Basu Roy; Omkar Sudhir Patil; Shubhendu Bhasin (ACC, 2019)

Adaptive Safety with Multiple Barrier Functions Using Integral Concurrent Learning. - Axton Isaly; Omkar Sudhir Patil; Ricardo G. Sanfelice; Warren E. Dixon (ACC, 2021)

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 (ACC, 2022)

Accelerated Gradient Approach For Neural Network Adaptive Control Of Nonlinear Systems. - Duc M. Le; Omkar Sudhir Patil; Cristian F. Nino; Warren E. Dixon (CDC, 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 (CDC, 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 (CDC, 2022)

Exponential Stability With RISE Controllers. - Omkar Sudhir Patil; Axton Isaly; Bin Xian; Warren E. Dixon (IEEE Control. Syst. Lett., 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)

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)

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 (CDC, 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 (CDC, 2023)

Lyapunov-Based Dropout Deep Neural Network (Lb-DDNN) Controller. - Saiedeh Akbari; Emily J. Griffis; Omkar Sudhir Patil; Warren E. Dixon (CoRR, 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 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)

Second-Order Heterogeneous Multi-Agent Target Tracking Without Relative Velocities. - Cristian F. Nino; Omkar Sudhir Patil; Warren E. Dixon (IEEE Control. Syst. Lett., 2023)

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 (CDC, 2024)

Adaptive Deep Neural Network-Based Control Barrier Functions. - Hannah M. Sweatland; Omkar Sudhir Patil; Warren E. Dixon (CoRR, 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)

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 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)

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., 2024)

Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control. - Omkar Sudhir Patil; Duc M. Le; Emily J. Griffis; Warren E. Dixon (IEEE Access, 2025)

Lyapunov-based adaptive deep system identification for approximate dynamic programming. - Wanjiku A. Makumi; Omkar Sudhir Patil; Warren E. Dixon (Autom., 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)

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)

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, 2025)

Online ResNet-Based Adaptive Control for Nonlinear Target Tracking. - Cristian F. Nino; Omkar Sudhir Patil; Marla R. Eisman; Warren E. Dixon (CoRR, 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, 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, 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, 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., 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, 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., 2025)