Neuro tracking control for immunotherapy cancer treatment

N. Aguilar, A. Cabrera, I. Chairez

Research output: Contribution to conferencePaper

4 Scopus citations

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. © 2006 IEEE.
Original languageAmerican English
Pages5316-5323
Number of pages4783
StatePublished - 1 Dec 2006
EventIEEE International Conference on Neural Networks - Conference Proceedings -
Duration: 1 Dec 2007 → …

Conference

ConferenceIEEE International Conference on Neural Networks - Conference Proceedings
Period1/12/07 → …

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Aguilar, N., Cabrera, A., & Chairez, I. (2006). Neuro tracking control for immunotherapy cancer treatment. 5316-5323. Paper presented at IEEE International Conference on Neural Networks - Conference Proceedings, .