2 citations · 2 across the 19 of their papers we have counts for
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Lyapunov-Based Deep Neural Networks for Adaptive Control of Stochastic Nonlinear Systems
Saiedeh Akbari, Cristian F. Nino, Omkar Sudhir Patil +1
Controlling nonlinear stochastic dynamical systems involves substantial challenges when the dynamics contain unknown and unstructured nonlinear state-dependent terms. For such comp…
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
Omkar Patil, Anant Sah, Nakul Gopalan
Humans can perform various combinations of physical skills without having to relearn skills from scratch every single time. For example, we can swing a bat when walking without hav…
Adaptive Deep Neural Network-Based Control Barrier Functions
Hannah M. Sweatland, Omkar Sudhir Patil, Warren E. Dixon
Safety constraints of nonlinear control systems are commonly enforced through the use of control barrier functions (CBFs). Uncertainties in the dynamic model can disrupt forward in…
Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control
Omkar Sudhir Patil, Duc M. Le, Emily J. Griffis +1
Deep Neural Network (DNN)-based controllers have emerged as a tool to compensate for unstructured uncertainties in nonlinear dynamical systems. A recent breakthrough in the adaptiv…