A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems-Reference-Cited by-同舟云学术

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A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems

Published:2022-12-06 Issue: Volume: Page:
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Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
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Author:

Zeng Zhexuan¹,Yue Zuogong¹,Mauroy Alexandre²,Goncalves Jorge³,Yuan Ye¹

Affiliation:

1. Huazhong University of Science and Technology,School of Artificial Intelligence and Automation,Wuhan,China

2. University of Namur,Department of Mathematics and the Namur Institute for Complex Systems (naXys),Namur,Belgium

3. University of Luxembourg,Luxembourg Centre for Systems Biomedicine,Belvaux,Luxembourg

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992482.pdf?arnumber=9992482

Reference21 articles.

1. System Aliasing in Dynamic Network Reconstruction:Issues on Low Sampling Frequencies

2. Hamiltonian Systems and Transformation in Hilbert Space

3. Spectral Properties of Dynamical Systems, Model Reduction and Decompositions

4. Koopman-Based Lifting Techniques for Nonlinear Systems Identification

Cited by 1 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. A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator;IEEE Transactions on Signal Processing;2024

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