Affiliations: Department of Computer Science and Information Engineering, Taoyuan Innovation Institute of Technology, Chung-Li, Taoyuan, Taiwan, R.O.C. | Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taoyuan, Taiwan, R.O.C.
Note: [] Corresponding author. Yi-Jen Mon, Department of Computer Science and Information Engineering, Taoyuan Innovation Institute of Technology, Chung-Li, Taoyuan, 320 Taiwan, R.O.C. Tel.: +886 3 4361070 6937; Fax: +886 4361070 6999; E-mail: [email protected]
Abstract: An adaptive network based fuzzy inference system (ANFIS)-based integral terminal sliding (ITS) mode (ANFISITS) control is developed in this paper to deal with the disturbed chaotic systems. This ANFISITS control system is composed of an ANFIS controller and an ITS controller. The ANFIS controller is designed to approach an ideal controller and the ITS controller is designed to compensate for the approximation error between the ANFIS controller and the ideal controller; meanwhile, the ANFISITS control can cope with the disturbances. In simulations, the chaotic system control is illustrated to verify this proposed ANFISITS control system. The simulation results of the proposed control method possess better performance and robustness compared with that of fuzzy sliding parallel distributed compensation (FS-PDC) control.
Keywords: Disturbed nonlinear systems, adaptive network based fuzzy inference system (ANFIS), integral terminal sliding mode control, chaotic systems
