High Gain Embedding Observer Design: Combining Differential Geometry and Algebra with Machine Learning-Reference-Cited by-同舟云学术

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High Gain Embedding Observer Design: Combining Differential Geometry and Algebra with Machine Learning

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 27th International Conference on System Theory, Control and Computing (ICSTCC)
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Author:

Röbenack Klaus¹,Fiedler Julius¹,Gerbet Daniel¹

Affiliation:

1. Institute of Control Theory,TU Dresden,Dresden,Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10305866/10308427/10308515.pdf?arnumber=10308515

Reference38 articles.

1. Activity recognition using a combination of high gain observer and deep learning computer vision algorithms

2. Adam: A method for stochastic optimization;kingma,2017

3. Multilayer feedforward networks are universal approximators

4. PyTorch: An Imperative Style, High-Performance Deep Learning Library;paszke;Advances in neural information processing systems,2019

5. Joint state and dynamics estimation with high-gain observers and Gaussian process models

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