6 papers
A Spatially Informed Gaussian Process UCB Method for Decentralized Coverage Control
Gennaro Guidone, Luca Monegaglia, Elia Raimondi +3
We present a novel decentralized algorithm for coverage control in unknown spatial environments modeled by Gaussian Processes (GPs). To trade-off between exploration and exploitati…
Online Feedback Optimization for Monotone Systems without Timescale Separation
Mattia Bianchi, Florian Dörfler
Online Feedback Optimization (OFO) steers a dynamical plant to a cost-efficient steady-state, only relying on input-output sensitivity information, rather than on a full plant mode…
PRIME: Fast Primal-Dual Feedback Optimization for Markets with Application to Optimal Power Flow
Nicholas Julian Behr, Mattia Bianchi, Keith Moffat +2
Online Feedback Optimization (OFO) controllers iteratively drive a plant to an optimal operating point that satisfies input and output constraints, relying solely on the input-outp…
A Stability Condition for Online Feedback Optimization without Timescale Separation
Mattia Bianchi, Florian Dörfler
Online Feedback Optimization (OFO) is a control approach to drive a dynamical plant to an optimal steady state. By interconnecting optimization algorithms with real-time plant meas…
Convergence and Robustness Bounds for Distributed Asynchronous Shortest-Path
Jared Miller, Mattia Bianchi, Florian Dörfler
This work analyzes convergence times and robustness bounds for asynchronous distributed shortest-path computation. We focus on the Adaptive Bellman--Ford algorithm, a self-stabiliz…
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
Colin Dirren, Mattia Bianchi, Panagiotis D. Grontas +2
We study the convex-concave bilinear saddle-point problem , where both, only one, or none of the functions and are strongly convex, a…