Title
Learning Lyapunov Functions for Hybrid Systems
Abstract
We propose a sampling-based approach to learn Lyapunov functions for a class of discrete-time autonomous hybrid systems that admit a mixed-integer representation. Such systems include autonomous piecewise affine systems, closed-loop dynamics of linear systems with model predictive controllers, piecewise affine/linear complementarity/mixed-logical dynamical system in feedback with a ReLU neural net...
Year
DOI
Venue
2021
10.1109/CISS50987.2021.9400289
2021 55th Annual Conference on Information Sciences and Systems (CISS)
Keywords
DocType
ISBN
Lyapunov methods,Neural networks,Dynamical systems,Stability analysis,Predictive models,Modeling,Linear systems
Conference
978-1-6654-1268-1
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Shaoru Chen101.35
Mahyar Fazlyab2336.06
Manfred Morari36006918.33
George Pappas46632540.42
Victor M. Preciado520529.44