Koopman-based Neural Lyapunov functions for general attractors
Author:
Affiliation:
1. University of California, Berkeley,Department of Electrical Engineering and Computer Sciences,Berkeley,CA,USA,94720
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992927.pdf?arnumber=9992927
Reference25 articles.
1. Rapidly Exponentially Stabilizing Control Lyapunov Functions and Hybrid Zero Dynamics
2. Control Barrier Function Based Quadratic Programs for Safety Critical Systems
3. Regions of Attraction for Hybrid Limit Cycles of Walking Robots
4. Long-Short Term Memory Neural Network Stability and Stabilization using Linear Matrix Inequalities
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4. Auxiliary Functions as Koopman Observables: Data-Driven Analysis of Dynamical Systems via Polynomial Optimization;Journal of Nonlinear Science;2023-10-30
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