80 citations · 167 across the 23 of their papers we have counts for
15 papers · 1 filter
Koopman-Based Neural Lyapunov Functions for General Attractors
Shankar A. Deka, Alonso M. Valle, Claire J. Tomlin
Koopman spectral theory has grown in the past decade as a powerful tool for dynamical systems analysis and control. In this paper, we show how recent data-driven techniques for est…
Incorporating Data Uncertainty in Object Tracking Algorithms
Anish Muthali, Forrest Laine, Claire Tomlin
Methodologies for incorporating the uncertainties characteristic of data-driven object detectors into object tracking algorithms are explored. Object tracking methods rely on measu…
Towards cyber-physical systems robust to communication delays: A differential game approach
Shankar A. Deka, Donggun Lee, Claire J. Tomlin
Collaboration between interconnected cyber-physical systems is becoming increasingly pervasive. Time-delays in communication channels between such systems are known to induce catas…
A Computationally Efficient Hamilton-Jacobi-based Formula for State-Constrained Optimal Control Problems
Donggun Lee, Claire J. Tomlin
This paper investigates a Hamilton-Jacobi (HJ) analysis to solve finite-horizon optimal control problems for high-dimensional systems. Although grid-based methods, such as the leve…
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
Fernando Castañeda, Jason J. Choi, Bike Zhang +2
Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs) are popular tools for enforcing safety and stability of a controlled system, respectively. They are commonly…
Robust Control Barrier-Value Functions for Safety-Critical Control
Jason J. Choi, Donggun Lee, Koushil Sreenath +2
This paper works towards unifying two popular approaches in the safety control community: Hamilton-Jacobi (HJ) reachability and Control Barrier Functions (CBFs). HJ Reachability ha…