Fixed pole based modeling and simulation schemes for fractional order systems.

This paper mainly investigates the numerical implementation issue of fractional order systems. First, a pattern of fixed pole schemes are developed to approximate fractional integrator/differentiator, whose common is that the poles keep constant for different α. Then, two solutions are proposed to improve the approximation performance around α=0. Afterwards, the simulation schemes are introduced for two kinds of fractional order systems. In those schemes, the configuration problem of nonzero initial value is considered. Finally, a fair and solid comparison to the classical approximation methods is presented, demonstrating the effectiveness and efficiency of the elaborated algorithms.

[1]  Yuquan Chen,et al.  An innovative parameter estimation for fractional-order systems in the presence of outliers , 2017 .

[2]  YangQuan Chen,et al.  A new collection of real world applications of fractional calculus in science and engineering , 2018, Commun. Nonlinear Sci. Numer. Simul..

[3]  Christophe Farges,et al.  Approximation of a fractional order model by an integer order model: a new approach taking into account approximation error as an uncertainty , 2016 .

[4]  Samir Ladaci,et al.  Reduced-Order Model Approximation of Fractional-Order Systems Using Differential Evolution Algorithm , 2018 .

[5]  Thierry Poinot,et al.  A method for modelling and simulation of fractional systems , 2003, Signal Process..

[6]  Christophe Farges,et al.  Fractional systems state space description: some wrong ideas and proposed solutions , 2014 .

[7]  Yong Wang,et al.  The output feedback control synthesis for a class of singular fractional order systems. , 2017, ISA transactions.

[8]  Farshad Merrikh-Bayat,et al.  Rules for selecting the parameters of Oustaloup recursive approximation for the simulation of linear feedback systems containing PIλDμ controller , 2012 .

[9]  Mohammad Saleh Tavazoei,et al.  Rational approximations in the simulation and implementation of fractional-order dynamics: A descriptor system approach , 2010, Autom..

[10]  Dingyu Xue,et al.  Benchmark problems for Caputo fractional-order ordinary differential equations , 2017 .

[11]  Songsong Cheng,et al.  A universal modified LMS algorithm with iteration order hybrid switching. , 2017, ISA transactions.

[12]  Yuquan Chen,et al.  Stability for nonlinear fractional order systems: an indirect approach , 2017 .

[13]  Mohammad Saleh Tavazoei Criteria for response monotonicity preserving in approximation of fractional order systems , 2016, IEEE/CAA Journal of Automatica Sinica.

[14]  Yong Wang,et al.  An innovative fixed-pole numerical approximation for fractional order systems. , 2016, ISA transactions.

[15]  Alain Oustaloup,et al.  The infinite state approach: Origin and necessity , 2013, Comput. Math. Appl..

[16]  Dingyü Xue,et al.  Universal block diagram based modeling and simulation schemes for fractional-order control systems. , 2018, ISA transactions.

[17]  Robin De Keyser,et al.  An efficient algorithm for low-order direct discrete-time implementation of fractional order transfer functions. , 2018, ISA transactions.

[18]  Yong Wang,et al.  State space approximation for general fractional order dynamic systems , 2014, Int. J. Syst. Sci..

[19]  Nusret Tan,et al.  An integer order approximation method based on stability boundary locus for fractional order derivative/integrator operators. , 2016, ISA transactions.

[20]  Yuquan Chen,et al.  A note on short memory principle of fractional calculus , 2017 .

[21]  Yong Wang,et al.  Rational approximation of fractional order systems by vector fitting method , 2017 .

[22]  Alain Oustaloup,et al.  Frequency-band complex noninteger differentiator: characterization and synthesis , 2000 .

[23]  Umberto Viaro,et al.  A method for the integer-order approximation of fractional-order systems , 2014, J. Frankl. Inst..

[24]  Yong Wang,et al.  A rational approximate method to fractional order systems , 2014 .