78 citations · 159 across the 10 of their papers we have counts for
10 papers
Data-Driven Reachability Analysis with Optimal Input Design
Peng Xie, Davide M. Raimondo, Rolf Findeisen +1
This paper addresses the conservatism in data-driven reachability analysis for discrete-time linear systems subject to bounded process noise, where the system matrices are unknown…
Set-based state estimation for discrete-time constrained nonlinear systems: an approach based on constrained zonotopes and DC programming
Alesi A. de Paula, Davide M. Raimondo, Guilherme V. Raffo +1
This paper proposes a new state estimator for discrete-time nonlinear dynamical systems with unknown-but-bounded uncertainties and state linear inequality and nonlinear equality co…
Joint state and parameter estimation based on constrained zonotopes
Brenner S. Rego, Diego Locatelli, Davide M. Raimondo +1
This note presents a new method for set-based joint state and parameter estimation of discrete-time systems using constrained zonotopes. This is done by extending previous set-base…
Set-based state estimation and fault diagnosis of linear discrete-time descriptor systems using constrained zonotopes
Brenner S. Rego, Davide M. Raimondo, Guilherme V. Raffo
This paper presents new methods for set-valued state estimation and active fault diagnosis of linear descriptor systems. The algorithms are based on constrained zonotopes, a genera…
Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context
Andrea Pozzi, Xiangzhong Xie, Davide M Raimondo +1
Battery management systems may rely on mathematical models to provide higher performance than standard charging protocols. Electrochemical models allow us to capture the phenomena…
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries
Saehong Park, Andrea Pozzi, Michael Whitmeyer +4
One of the most crucial challenges faced by the Li-ion battery community concerns the search for the minimum time charging without irreversibly damaging the cells. This can fall in…