Examples for separable control Lyapunov functions and their neural network approximation-Reference-Cited by-同舟云学术

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Examples for separable control Lyapunov functions and their neural network approximation

Published:2023 Issue:1 Volume:56 Page:19-24
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Grüne Lars,Sperl Mario

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

General Medicine

Reference26 articles.

1. TensorFlow: Large-scale machine learning on heterogeneous systems;Abadi;Software,2015

2. Universal approximation bounds for superpositions of a sigmoidal function;Barron;IEEE Transactions on Information Theory,1993

3. Deep neural network approximation theory for high-dimensional functions;Beneventano;Preprint,2021

4. Stability of Differential Inclusions;Braun,2021

5. On the active nodes of network systems;Chen,2020

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using GRU models in the LPV-LFT framework;2024 IEEE Conference on Control Technology and Applications (CCTA);2024-08-21

2. Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems;2024 European Control Conference (ECC);2024-06-25

3. Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

4. Systematic Analysis and Design of Control Systems Based on Lyapunov’s Direct Method;Algorithms;2023-08-14

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