123 citations · 495 across the 29 of their papers we have counts for
4 papers · 1 filter
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
Param Budhraja, Mayank Baranwal, Kunal Garg +1
Accelerated gradient methods are the cornerstones of large-scale, data-driven optimization problems that arise naturally in machine learning and other fields concerning data analys…
Sampling based Computation of Viability Domain to Prevent Safety Violations by Attackers
Kunal Garg, Ricardo G. Sanfelice, Alvaro A. Cardenas
This paper studies the security of cyber-physical systems under attacks. Our goal is to design system parameters, such as a set of initial conditions and input bounds so that it is…
Multi-rate Control Design under Input Constraints via Fixed-Time Barrier Functions
Kunal Garg, Ryan K. Cosner, Ugo Rosolia +2
In this paper, we introduce the notion of periodic safety, which requires that the system trajectories periodically visit a subset of a forward-invariant safe set, and utilize it i…
Control Barrier Functions in Sampled-Data Systems
Joseph Breeden, Kunal Garg, Dimitra Panagou
This paper presents conditions for ensuring forward invariance of safe sets under sampled-data system dynamics with piecewise-constant controllers and fixed time-steps. First, we i…