Biography
Dr. Omkar Sudhir Patil is a Research Assistant Scientist at the University of Florida specializing in advanced control, robotics, and AI-driven learning methods. He received his Bachelor of Technology (B.Tech.) degree in production and industrial engineering from Indian Institute of Technology (IIT) Delhi in 2018. Omkar received his Master of Science (M.S.) degree in mechanical engineering in August 2022 and Ph.D. in mechanical engineering in May 2023 from the University of Florida. His research bridges Lyapunov-based adaptive control, machine learning, and nonlinear dynamics to enable robust, real-time autonomy in uncertain systems. He has pioneered extensions of Lyapunov theory to deep neural networks, contributing new methods for stability, safety, and online learning in complex robotic environments.
Research Interests:
Nonlinear Control, Adaptive Control, AI-Based Control Methods, Multi-Agent Systems
Selected Publications:
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O. Patil, R. Kamalapurkar, and W. Dixon, ”A saturated RISE controller with exponential
stability guarantees,” IEEE Trans. Autom. Control, 2025. -
O. Patil, D. Le, E. Griffis, and W. Dixon, ”Lyapunov-based deep residual neural
network (ResNet) adaptive control,” IEEE Access, 2025. -
O. Patil, R. Sun, S. Bhasin, and W. E. Dixon, ”Adaptive control of time-varying parameter systemswith asymptotic tracking,” IEEE Trans. Autom. Control, vol. 67, no. 9, pp. 4809–4815, 2022.
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O. Patil, D. Le, M. Greene, and W. E. Dixon, ”Lyapunov-derived control and adaptiveupdate laws for inner and outer layer weights of a deep neural network,” IEEE Control Syst Lett., vol. 6,pp. 1855–1860, 2022.
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W. Makumi, O. Patil, and W. Dixon, ”Lyapunov-based adaptive deep learning for
approximate dynamic programming,” Automatica, vol. 180, p. 112462, 2025.
Notable Awards:
Graduate Student Research Award, University of Florida, Department of Mechanical and Aerospace Engineering, 2023