12 papers
Simultaneous Online System Identification and Control using Composite Adaptive Lyapunov-Based Deep Neural Networks
Omkar Sudhir Patil, Emily J. Griffis, Wanjiku A. Makumi +1
Although deep neural network (DNN)-based controllers are popularly used to control uncertain nonlinear dynamic systems, most results use DNNs that are pretrained offline and the co…
Bounds on Deep Neural Network Partial Derivatives with Respect to Parameters
Omkar Sudhir Patil, Brandon C. Fallin, Cristian F. Nino +2
Deep neural networks (DNNs) have emerged as a powerful tool with a growing body of literature exploring Lyapunov-based approaches for real-time system identification and control. T…
Heterogeneous Multi-Agent Multi-Target Tracking using Cellular Sheaves
Tyler Hanks, Cristian F. Nino, Joana Bou Barcelo +3
Multi-agent target tracking in the presence of nonlinear dynamics and agent heterogeneity, where state-space dimensions may differ, is a challenging problem that traditional graph…
LyLA-Therm: Lyapunov-based Langevin Adaptive Thermodynamic Neural Network Controller
Saiedeh Akbari, Omkar Sudhir Patil, Warren E. Dixon
Thermodynamic principles can be employed to design parameter update laws that address challenges such as the exploration vs. exploitation dilemma. In this paper, inspired by the La…
Resilient State Recovery using Prior Measurement Support Information
Yu Zheng, Olugbenga Moses Anubi, Warren E. Dixon
Resilient state recovery of cyber-physical systems has attracted much research attention due to the unique challenges posed by the tight coupling between communication, computation…
Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks
Max L. Gardenswartz, Brandon C. Fallin, Cristian F. Nino +1
This paper presents a novel approach to solving the indirect influence problem in networked systems, in which cooperative nodes must regulate a target node with uncertain dynamics…