Observer-based intelligent adaptive iterative time-varying controller for nonlinear of chronic myelogenous leukemia dynamics

An adaptive controller for a time-varying non-linear non-affine system is designed based on the observer for chronic Myelogenous leukaemia (CML) as a blood cancer. Compared to recent research that concentrates on designing controllers for exact models of CML, our approach deals with designing controllers for nonlinear uncertain models in which the function of the system is unknown. This approach deals with the nonlinear observer-based design to reduce both the hardware and sensors for parameter estimation of the diseased. In the proposed method for designing a suitable controller, fuzzy systems are used as a general approximator and also their parameters are calculated in such a way that the stability of the closed-loop system is guaranteed. Compared to the investigated methodologies that concentrate on the designing controller for the known dynamical models, the proposed approach deals with the unknown nonlinear model of Nonlinear of Chronic Myelogenous Leukemia. Furthermore, instead of approximating the unknown function of the disease, this approach concentrates on the approximation of the control input to decrease computational values. This method is a supplementary tool for specialists who study in this field. Furthermore, one of the most important advantages of the proposed method is that the dynamics of systems are uncertain. Simulation results show the effectiveness of the proposed method.

کلیدواژه ها:

Adaptive Controller ، cancer ، Chronic Myelogenous Leukemia ، Observer ، Fuzzy system ، Nonlinear model