@inproceedings{9eb5b376353347cabdc4d5090b446f95,
title = "Neuro tracking control for immunotherapy cancer treatment",
abstract = "Immunotherapy refers to the use of natural and synthetic substances to stimulate the immune response. This paper provides a description for an adaptive control design for immunotherapy cancer treatment mathematical model, where all state vector is considered to be not on-line available. The control strategy is suggested in two parts: the first one deals with the state estimation process using differential neural networks and sliding mode type observer techniques. The second part introduces the non-linear neuralidentifier design which provides a complete state information to construct a discontinuous (sliding mode type) control function. This technique was successfully applied in the tracking process for immunotherapy dosage control.",
keywords = "Cancer, Differential neural networks, Estimation, Identification, Immunotherapy, Sliding mode",
author = "N. Aguilar and A. Cabrera and I. Chairez",
year = "2006",
doi = "10.1109/ijcnn.2006.247288",
language = "Ingl{\'e}s",
isbn = "0780394909",
series = "IEEE International Conference on Neural Networks - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5316--5323",
booktitle = "International Joint Conference on Neural Networks 2006, IJCNN '06",
address = "Estados Unidos",
note = "International Joint Conference on Neural Networks 2006, IJCNN '06 ; Conference date: 16-07-2006 Through 21-07-2006",
}
