In this study, an observer-based adaptive fuzzy controller for prescribing drug dosage in cancer treatment is presented. In the controller design, it is supposed that only the tumor cells and the concentration of Interleukin-2 (IL-2) are measurable. After defining new state variables for the system, a state observer is employed to estimate the unmeasurable state when the unknown dynamic functions of the system are approximated by the fuzzy systems. The stability of the closed-loop system is demonstrated using the Lyapunov theory. Simulation results show the good performance of the observer-based controller taking into account the unknown system dynamics.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.