Title: Fuzzy fractional sliding mode observer design for a class of nonlinear dynamics of the cancer disease
Authors: Saeed Rooka; Reza Ghasemi
Addresses: Department of Electrical Engineering, University of Qom, Qom, Iran ' Department of Electrical Engineering, University of Qom, Qom, Iran
Abstract: The purpose of this paper is designing to optimise controller parameters for improvement of the performances of cancer dynamic by combining both TS fuzzy sliding mode method and fractional variable structure control. The fractional fuzzy controller matched is formulated here. This paper is proven the stability conditions based on linear matrix inequalities (LMIs) where the fractional-order α belongs to 0 < α < 1. Furthermore, this method is investigated TS fuzzy method to design fractional observer to estimate states of the fractional nonlinear dynamic of drug administration in cancer chemotherapy based on the sector nonlinearity method. This approach presented a mathematical model to expand the dynamics between tumour cells, normal cells, immune cells, chemotherapy drug concentration and drug toxicity. The stability of the closed loop system and the convergence of both the observer and the tracking error to zero are the main merits of the proposed method. The simulation results show the promising performance of both the observer and controller scheme.
Keywords: fractional TS observer; fractional system; cancer; sector nonlinearity approach; sliding mode theory.
International Journal of Automation and Control, 2018 Vol.12 No.1, pp.62 - 77
Received: 10 May 2016
Accepted: 14 Oct 2016
Published online: 30 Oct 2017 *