Set-Based Value Function Characterization and Neural Approximation of Stabilization Domains for Input-Constrained Discrete-Time Systems
ScientificML
Proposes a novel framework using set-based value function characterization and neural network approximation to estimate stabilization domains and stabilizing controllers for input-constrained discrete-time nonlinear systems.
See LICENSE file Nonlinear SystemStabilization DomainNeural Network