DocumentCode
226399
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
fYear
2014
fDate
6-11 July 2014
Firstpage
1666
Lastpage
1670
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-2073-0
Type
conf
DOI
10.1109/FUZZ-IEEE.2014.6891524
Filename
6891524
Link To Document