Title :
T-S fuzzy models based approximation for general fractional order nonlinear dynamic systems
Author :
Yong Wang ; Yiheng Wei ; Min Zhu ; Mengmeng Liu ; Cheng Peng ; Zeshao Chen
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
In this paper, a novel approach is presented to approximate the general fractional order nonlinear dynamic systems. Firstly, a generalized T-S fuzzy method is used to approximate the original models. Then a new method to approximate the fractional order T-S models is utilized, and obtain a series of integer order linear model. It is revealed for the first time that a general fractional order nonlinear system (FONS) can be approximated by a series of integer order linear models to any degree of accuracy on any compact set. Finally, numerical simulation results are provided to illustrate the effectiveness of the proposed approach.
Keywords :
approximation theory; fuzzy control; fuzzy systems; linear systems; nonlinear control systems; nonlinear dynamical systems; FONS; fractional order T-S model approximation; general fractional order nonlinear dynamic systems; generalized T-S fuzzy model-based approximation; integer order linear model; numerical simulation; Automation; Computational modeling; Conferences; Control systems; Linear approximation; Nonlinear systems;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891524