A Rational Approximation Method of Fractional Order Differentiators and Integrators Based On Joint Optimal Criterion

2016 ◽  
Vol 9 (6) ◽  
pp. 251-264
Author(s):  
Huimin Zhao ◽  
Chen Guo ◽  
Wu Deng ◽  
Dongyan Li ◽  
Xinhua Yang ◽  
...  
Author(s):  
Dingyu¨ Xue ◽  
YangQuan Chen

In this paper, we propose a procedure to achieve rational approximation to arbitrary fractional order linear time invariant (FO-LTI) systems with sub-optimum H2-norm. Through illustrations, we show that the rational approximation is simple and effective. It is also demonstrated that this sub-optimum approximation method is effective in designing integer order controllers for FO-LTI systems in general form. Useful Matlab codes are also given in the appendices.


2014 ◽  
Vol 721 ◽  
pp. 366-369
Author(s):  
Hong Gang Dang ◽  
Xiao Ya Yang ◽  
Wan Sheng He

In this paper, a nonlinear system with random parameter, which is called stochastic fractional-order complex Lorenz system, is investigated. The Laguerre polynomial approximation method is used to study the system. Then, the stochastic fractional-order system is reduced into the equivalent deterministic one with Laguerre approximation. The ensemble mean and sample responses of the stochastic system can be obtained.


1982 ◽  
Vol 15 (10) ◽  
pp. 3233-3240 ◽  
Author(s):  
R T Baumel ◽  
J L Gammel ◽  
J Nuttall ◽  
D C Power

2020 ◽  
Vol 26 (2) ◽  
pp. 263-272
Author(s):  
S. I. Unhale ◽  
Subhash D. Kendre

AbstractThe objective of this work is to study the local existence, uniqueness, stability and other properties of solutions of iterative mixed integrodifferential equations of fractional order. The Successive Approximation Method is applied for the numerical solution of iterative mixed integrodifferential equations of fractional order.


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