Omkar Sudhir Patil

Orcid: 0000-0002-3820-2025

According to our database1, Omkar Sudhir Patil authored at least 17 papers between 2019 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

2023
Second-Order Heterogeneous Multi-Agent Target Tracking Without Relative Velocities.
IEEE Control. Syst. Lett., 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

Deep Adaptive Indirect Herding of Multiple Target Agents with Unknown Interaction Dynamics.
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
Adaptive Control of Time-Varying Parameter Systems With Asymptotic Tracking.
IEEE Trans. Autom. Control., 2022

Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network.
IEEE Control. Syst. Lett., 2022

Exponential Stability With RISE Controllers.
IEEE Control. Syst. Lett., 2022

Exponential Stability with RISE Controllers for Uncertain Nonlinear Systems with Unknown Time-Varying State Delays.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

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

Accelerated Gradient Approach For Neural Network Adaptive Control Of Nonlinear Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Integral Concurrent Learning-Based Accelerated Gradient Adaptive Control of Uncertain Euler-Lagrange Systems.
Proceedings of the American Control Conference, 2022

2021
Adaptive Safety with Multiple Barrier Functions Using Integral Concurrent Learning.
Proceedings of the 2021 American Control Conference, 2021

2019
A Singularity-free Hierarchical Nonlinear Quad-Rotorcraft Control using Saturation and Barrier Lyapunov Function.
Proceedings of the 2019 American Control Conference, 2019


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