Fractional sliding mode based on RBF neural network observer: Application to HIV infection mathematical model-Reference-Cited by-同舟云学术

Fractional sliding mode based on RBF neural network observer: Application to HIV infection mathematical model

Published:2020-06 Issue:11 Volume:79 Page:3179-3188
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Sharafian Amin^ORCID,Sharifi Alireza^ORCID,Zhang Weidong^ORCID

Funder

National Science Foundation of China

National Key R&D Program of China

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modelling and Simulation

Reference40 articles.

1. Mathematical modeling to study multistage stem cell transplantation in HIV-1 patients;Qudah;Discrete Dyn. Nat. Soc.,2019

2. Mathematical model for an effective management of HIV infection;Ogunlaran;BioMed. Res. Int.,2016

3. A mathematical model of HIV dynamics treated with a population of gene-edited haematopoietic progenitor cells exhibiting threshold phenomenon;Ratti;Math. Med. Biol.,2019

4. State-dependent Riccati equation sliding mode observer for mathematical dynamic model of chronic myelogenous leukaemia;Sharafian;Int. J. Eng. Syst. Model. Simul.,2018

5. Different types of sliding mode controller for nonlinear fractional multi-Agent system;Sharafian;Chaos Solitons Fractals,2019

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