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20242026
most citedIndependence of Closed-Loop Equilibria and Stability from the Choice of Control Barrier Function for a Given Safe Set

1 citations · 1 across the 2 of their papers we have counts for

collaborators

12 papers

eess.SY2026

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…

eess.SY20261 cited

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…

math.OC2026

Online Feedback Optimization for Constrained Stochastic Problems with Decision-Dependent Distributions: Extended Version

Caio Kalil Lauand, Emiliano Dall'Anese

Online feedback optimization (OFO) leverages real-time output measurements to optimize the operation of networked systems without requiring full knowledge of system dynamics or dis…

eess.SY2026

Local Safety Filters for Networked Systems via Two-Time-Scale Design

Emiliano Dall'Anese

Safety filters based on Control Barrier Functions (CBFs) provide formal guarantees of forward invariance, but are often difficult to implement in networked dynamical systems. This…

eess.SY2026

Demand Response Under Stochastic, Price-Dependent User Behavior

Guido Cavraro, Andrey Bernstein, Emiliano Dall'Anese

This paper focuses on price-based residential demand response implemented through dynamic adjustments of electricity prices during DR events. It extends existing DR models to a sto…

eess.SY2025

Online convex optimization for robust control of constrained dynamical systems

Marko Nonhoff, Emiliano Dall'Anese, Matthias A. Müller

This article investigates the problem of controlling linear time-invariant systems subject to time-varying and a priori unknown cost functions, state and input constraints, and exo…