Non-Asymptotic Neural Network-based State and Disturbance Estimation for a Class of Nonlinear Systems using Modulating Functions-Reference-Cited by-同舟云学术

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Non-Asymptotic Neural Network-based State and Disturbance Estimation for a Class of Nonlinear Systems using Modulating Functions

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
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Author:

Marani Yasmine¹,N’Doye Ibrahima¹,Laleg Kirati Taous Meriem¹

Affiliation:

1. King Abdullah University of Science and Technology (KAUST),Computer, Electrical and Mathematical Science and Engineering Division (CEMSE),Thuwal,Saudi Arabia,23955-6900

Funder

King Abdullah University of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156351.pdf?arnumber=10156351

Reference23 articles.

1. Identification of fractional order systems using modulating functions method

2. Tikhonov type regularization methods: History and recent progress;lenzen;Proceeding Eccomas 2004,2004

3. Finite-time simultaneous parameter and state estimation using modulating functions

4. Modulating Functions Based Algorithm for the Estimation of the Coefficients and Differentiation Order for a Space-Fractional Advection-Dispersion Equation

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. Simultaneous Algebraic Estimation of Pseudo-State and Disturbance for a Class of Fractional Order Linear Systems;2023 IEEE 11th International Conference on Systems and Control (ICSC);2023-12-18

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