59 citations · 68 across the 6 of their papers we have counts for
4 papers · 1 filter
Transfer Meta-Learning for State Space Autoencoders
Stefano De Carli, Daniele Masti, Davide Previtali +1
Nonlinear system identification often requires costly experimental campaigns and separate model fitting for each different instance (target system) of a given system family. To red…
Fault-tolerant control of nonlinear systems: An inductive synthesis approach
Daniele Masti, Davide Grande, Andrea Peruffo +1
Actuator faults heavily affect the performance and stability of control systems, an issue that is even more critical for systems required to operate autonomously under adverse envi…
A neural network-based approach to hybrid systems identification for control
Filippo Fabiani, Bartolomeo Stellato, Daniele Masti +1
We consider the problem of designing a machine learning-based model of an unknown dynamical system from a finite number of (state-input)-successor state data points, such that the…
Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems
Daniele Masti, Filippo Fabiani, Giorgio Gnecco +1
We propose a counter-example guided inductive synthesis (CEGIS) scheme for the design of control Lyapunov functions and associated state-feedback controllers for linear systems aff…