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 language||American English|
|Number of pages||4783|
|State||Published - 1 Dec 2006|
|Event||IEEE International Conference on Neural Networks - Conference Proceedings - |
Duration: 1 Dec 2007 → …
|Conference||IEEE International Conference on Neural Networks - Conference Proceedings|
|Period||1/12/07 → …|
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, .