1 citations · 1 across the 8 of their papers we have counts for
7 papers · 1 filter
Safe Policy Optimization via Control Barrier Function-based Safety Filters
Yiting Chen, Pol Mestres, Emiliano Dall'Anese +1
Control barrier function (CBF)-based safety filters provide a systematic way to enforce state constraints, but they can significantly alter the closed-loop dynamics induced by a no…
Sampled-data Systems: Stability, Contractivity and Single-iteration Suboptimal MPC
Yiting Chen, Francesco Bullo, Emiliano Dall'Anese
This paper analyzes the stability of interconnected continuous-time (CT) and discrete-time (DT) systems coupled through sampling and zero-order hold mechanisms. The DT system updat…
Independence of Closed-Loop Equilibria and Stability from the Choice of Control Barrier Function for a Given Safe Set
Yiting Chen, Pol Mestres, Jorge Cortes +1
Control barrier functions (CBFs) play a critical role in the design of safe optimization-based controllers for control-affine systems. Given a CBF associated with a given, predefin…
Characterization of the Dynamical Properties of Safety Filters for Linear Planar Systems
Yiting Chen, Pol Mestres, Emiliano Dall'Anese +1
This paper studies the dynamical properties of closed-loop systems obtained from control barrier function-based safety filters. We provide a sufficient and necessary condition for…
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…
Optimal Power Flow Pursuit via Feedback-based Safe Gradient Flow
Antonin Colot, Yiting Chen, Bertrand Cornelusse +2
This paper considers the problem of controlling inverter-interfaced distributed energy resources (DERs) in a distribution grid to solve an AC optimal power flow (OPF) problem in re…
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems
Yiting Chen, Ana M. Ospina, Fabio Pasqualetti +1
This paper presents a system identification framework -- inspired by multi-task learning -- to estimate the dynamics of a given number of linear time-invariant (LTI) systems jointl…