Tabulated results for automatically controlled angiogenic inhibition therapy based on sliding mode technique
Description
A sliding mode based inhibitory agent injection law is derived using the angiogenic inhibition model of cancer progression which describes the variation of the tumor and supporting vasculature volumes in targeted molecular therapies. The data set present the most important results that indicate the performance of the closed-loop treatment. Each column represents the current value of the related parameter. The first six parameters are the PID sliding surface and sliding mode dynamical constants. These are the proportional gain (Kp), integral gain (Ki), D derivative gain (Kd), the constant \eta, \gamma and the sigmoid slope parameter 'c'. The remaining are the desired final value of the tumor volume (r), the actual final value of the tumor volume (x1(infty)) and supporting vasculature volume (x2(infty)), maximum value of the inhibitory agent administration rate (umax), final value of the inhibitory agent rate (u(infty)) and the setup time which is the duration required to decrease the tumor volume to to 1% of its initial level. The results are obtained from a small C program. The developments are made by MATLAB.