TY - GEN
T1 - Neural differential tracking control in cancer model
AU - Aguilar, N.
AU - Cabrera, A.
AU - Chaire, I.
PY - 2006
Y1 - 2006
N2 - Immunotherapy refers to the use of natural and synthetic substances to stimulate the immune response. This document provides the description on the identification process for a particular cancer mathematical model under the immunotherapy treatment by differential neural networks (DNN) and sliding mode type observer techniques. The combination of these both techniques make available a close enough following between the estimate states given by the neural network and the cancer model dynamics: these are the interleukin- 2, the tumor cells and the effector cells concentrations. Besides, a feedback control design is shown using the DNN's estimated states and Sliding Mode Control as a possible solution in the effective dose research for immunotherapy treatment. The numerical results derived by this method, implies the possibility to construct a real controller for cancer treatment using an IL-2 on-line sensor and an embedded system to implement the DNN scheme.
AB - Immunotherapy refers to the use of natural and synthetic substances to stimulate the immune response. This document provides the description on the identification process for a particular cancer mathematical model under the immunotherapy treatment by differential neural networks (DNN) and sliding mode type observer techniques. The combination of these both techniques make available a close enough following between the estimate states given by the neural network and the cancer model dynamics: these are the interleukin- 2, the tumor cells and the effector cells concentrations. Besides, a feedback control design is shown using the DNN's estimated states and Sliding Mode Control as a possible solution in the effective dose research for immunotherapy treatment. The numerical results derived by this method, implies the possibility to construct a real controller for cancer treatment using an IL-2 on-line sensor and an embedded system to implement the DNN scheme.
KW - Differential neural network
KW - Identification
KW - Immunotherapy cancer treatment
KW - Sliding modes technique
KW - Trajectory tracking
UR - http://www.scopus.com/inward/record.url?scp=34047234169&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:34047234169
SN - 1424402107
SN - 9781424402106
T3 - Proceedings of the American Control Conference
SP - 2262
EP - 2267
BT - Proceedings of the 2006 American Control Conference
T2 - 2006 American Control Conference
Y2 - 14 June 2006 through 16 June 2006
ER -