11 citations · 15 across the 5 of their papers we have counts for
5 papers
Online Regulation of Dynamical Systems to Solutions of Constrained Optimization Problems
Yiting Chen, Liliaokeawawa Cothren, Jorge Cortes +1
This paper considers the problem of regulating a dynamical system to equilibria that are defined as solutions of an input- and state-constrained optimization problem. To solve this…
Online Feedback Optimization and Singular Perturbation via Contraction Theory
Liliaokeawawa Cothren, Francesco Bullo, Emiliano Dall'Anese
In this paper, we provide a novel contraction-theoretic approach to analyze two-time scale systems, including those commonly encountered in Online Feedback Optimization (OFO). Our…
Perception-Based Sampled-Data Optimization of Dynamical Systems
Liliaokeawawa Cothren, Gianluca Bianchin, Sarah Dean +1
Motivated by perception-based control problems in autonomous systems, this paper addresses the problem of developing feedback controllers to regulate the inputs and the states of a…
Online Optimization of Dynamical Systems with Deep Learning Perception
Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese
This paper considers the problem of controlling a dynamical system when the state cannot be directly measured and the control performance metrics are unknown or partially known. In…
Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions
Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese
This paper considers the problem of regulating a linear dynamical system to the solution of a convex optimization problem with an unknown or partially-known cost. We design a data-…