A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics

I. Chairez; A. Cabrera; A. Poznyak; T. Poznyak

doi:10.3182/20020721-6-es-1901.01346

A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics

I. Chairez, A. Cabrera, A. Poznyak, T. Poznyak

Unidad Profesional Interdisciplinaria de Biotecnología (UPIBI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The continuous time observer design based on differential neural networks (DNN) is presented. It is tested by the application to an immunological interaction model for HIV. To give the corresponding data interpretation and to justify the observability property the Kirschner's model is used. The suggested observer estimates the model's variables behavior providing the evolution of the number of infected and not infected lymphocyte T-CD4 cells during 10 days approximately starting from the treatment using Zidovuina (AZT). This approach does not require any model of this process to be in use. The obtained results are shown to allow the programming a high-quality medication protocol for zero-positive patients or AIDS patients.

Original language	English
Title of host publication	IFAC Proceedings Volumes (IFAC-PapersOnline)
Editors	Gabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
Publisher	IFAC Secretariat
Pages	223-228
Number of pages	6
Edition	1
ISBN (Print)	9783902661746
DOIs	https://doi.org/10.3182/20020721-6-es-1901.01346
State	Published - 2002
Event	15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain Duration: 21 Jul 2002 → 26 Jul 2002

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Number	1
Volume	35
ISSN (Print)	1474-6670

Conference

Conference	15th World Congress of the International Federation of Automatic Control, 2002
Country/Territory	Spain
City	Barcelona
Period	21/07/02 → 26/07/02

Keywords

AIDS
Differential neural networks
HIV
Neuro-ob server
Observability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3182/20020721-6-es-1901.01346

Cite this

Chairez, I., Cabrera, A., Poznyak, A., & Poznyak, T. (2002). A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics. In G. Ferrate, E. F. Camacho, L. Basanez, & J. A. de la Puente (Eds.), IFAC Proceedings Volumes (IFAC-PapersOnline) (1 ed., pp. 223-228). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 35, No. 1). IFAC Secretariat. https://doi.org/10.3182/20020721-6-es-1901.01346

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Chairez, I, Cabrera, A, Poznyak, A & Poznyak, T 2002, A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics. in G Ferrate, EF Camacho, L Basanez & JA de la Puente (eds), IFAC Proceedings Volumes (IFAC-PapersOnline). 1 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 1, vol. 35, IFAC Secretariat, pp. 223-228, 15th World Congress of the International Federation of Automatic Control, 2002, Barcelona, Spain, 21/07/02. https://doi.org/10.3182/20020721-6-es-1901.01346

A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics. / Chairez, I.; Cabrera, A.; Poznyak, A. et al.
IFAC Proceedings Volumes (IFAC-PapersOnline). ed. / Gabriel Ferrate; Eduardo F. Camacho; Luis Basanez; Juan. A. de la Puente. 1. ed. IFAC Secretariat, 2002. p. 223-228 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 35, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics

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AU - Cabrera, A.

AU - Poznyak, A.

AU - Poznyak, T.

PY - 2002

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N2 - The continuous time observer design based on differential neural networks (DNN) is presented. It is tested by the application to an immunological interaction model for HIV. To give the corresponding data interpretation and to justify the observability property the Kirschner's model is used. The suggested observer estimates the model's variables behavior providing the evolution of the number of infected and not infected lymphocyte T-CD4 cells during 10 days approximately starting from the treatment using Zidovuina (AZT). This approach does not require any model of this process to be in use. The obtained results are shown to allow the programming a high-quality medication protocol for zero-positive patients or AIDS patients.

AB - The continuous time observer design based on differential neural networks (DNN) is presented. It is tested by the application to an immunological interaction model for HIV. To give the corresponding data interpretation and to justify the observability property the Kirschner's model is used. The suggested observer estimates the model's variables behavior providing the evolution of the number of infected and not infected lymphocyte T-CD4 cells during 10 days approximately starting from the treatment using Zidovuina (AZT). This approach does not require any model of this process to be in use. The obtained results are shown to allow the programming a high-quality medication protocol for zero-positive patients or AIDS patients.

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KW - Differential neural networks

KW - HIV

KW - Neuro-ob server

KW - Observability

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Y2 - 21 July 2002 through 26 July 2002

ER -

A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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