Quantum neural networks based Lyapunov stability and adaptive learning rates for identification of nonlinear systems-Reference-Cited by-同舟云学术

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Quantum neural networks based Lyapunov stability and adaptive learning rates for identification of nonlinear systems

Published:2024-08 Issue:8 Volume:15 Page:102851
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Khalil Hossam,Elshazly Osama^ORCID,Baihan Abdullah^ORCID,El-Shafai Walid^ORCID,Shaheen Omar

Publisher

Elsevier BV

Reference52 articles.

1. Diagonal recurrent neural network-based identification of nonlinear dynamical systems with Lyapunov stability based adaptive learning rates;Kumar;Neurocomputing,2018

2. Identification and control of nonlinear systems by a time-delay recurrent neural network;Ge;Neurocomputing,2009

3. Adaptive recurrent neural network with lyapunov stability learning rules for robot dynamic terms identification;Agand;Eng Appl Artif Intel,2017

4. Application of Wiener model predictive control (WMPC) to a pH neutralization experiment;Norquay;IEEE Trans Control Syst Technol,1999

5. Discrete-time recurrent high order neural networks for nonlinear identification;Alanis;J Franklin Inst,2010

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