Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems

Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems

As neural networks (NNs) become more prevalent in safety-critical applications such as control of vehicles, there is a growing need to certify that systems with NN components are safe. This paper presents a set of backward reachability approaches for safety certification of neural feedback loops (NF...

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Bibliographic Details
Main Authors: Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Control Systems
Subjects:
Linear systems
neural feedback loops
neural networks
nonlinear systems
reachability
safety
Online Access:https://ieeexplore.ieee.org/document/10097878/

Internet

https://ieeexplore.ieee.org/document/10097878/

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