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)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	IFAC Proceedings Volumes (IFAC-PapersOnline)
Editores	Gabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
Editorial	IFAC Secretariat
Páginas	223-228
Número de páginas	6
Edición	1
ISBN (versión impresa)	9783902661746
DOI	https://doi.org/10.3182/20020721-6-es-1901.01346
Estado	Publicada - 2002
Evento	15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Espana Duración: 21 jul. 2002 → 26 jul. 2002

Serie de la publicación

Nombre	IFAC Proceedings Volumes (IFAC-PapersOnline)
Número	1
Volumen	35
ISSN (versión impresa)	1474-6670

Conferencia

Conferencia	15th World Congress of the International Federation of Automatic Control, 2002
País/Territorio	Espana
Ciudad	Barcelona
Período	21/07/02 → 26/07/02

ODS de las Naciones Unidas

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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. En 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, N.º 1). IFAC Secretariat. https://doi.org/10.3182/20020721-6-es-1901.01346

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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.",

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author = "I. Chairez and A. Cabrera and A. Poznyak and T. Poznyak",

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Chairez, I, Cabrera, A, Poznyak, A & Poznyak, T 2002, A continuous time neuro-observer for human immunodeficiency virus (HIV) dynamics. En G Ferrate, EF Camacho, L Basanez & JA de la Puente (eds.), IFAC Proceedings Volumes (IFAC-PapersOnline). 1 ed., IFAC Proceedings Volumes (IFAC-PapersOnline), n.º 1, vol. 35, IFAC Secretariat, pp. 223-228, 15th World Congress of the International Federation of Automatic Control, 2002, Barcelona, Espana, 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, N.º 1).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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

AU - Chairez, I.

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.

KW - AIDS

KW - Differential neural networks

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KW - Neuro-ob server

KW - Observability

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ER -

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

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