Title :
Identification discrete fractional order Hammerstein systems
Author_Institution :
Dept. of Mechatron., Samara State Univ. of Transp., Samara, Russia
Abstract :
New algorithm is proposed for identification single-input-single-output (SISO) discrete fractional order Hammerstein systems. The estimates are proved to be convergent to the true values with probability one. The results of a simulated example indicate that the proposed algorithm provides good estimates.
Keywords :
convergence of numerical methods; discrete time systems; probability; convergence; identification SISO discrete fractional order Hammerstein system; probability; single input single output; Biological system modeling; Estimation; Fractals; Fractional calculus; System identification; Time-domain analysis; Hammerstein system; consistency; fractional order system; nonlinear least square; output-error; parametric identification error in equation;
Conference_Titel :
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location :
Omsk
Print_ISBN :
978-1-4799-7102-2
DOI :
10.1109/SIBCON.2015.7147074
