Title :
Adaptive rejection of stochastic and deterministic sinusoidal disturbances with unknown frequency
Author :
Wang, Yigang ; Chu, Kevin C. ; Tsao, Tsu-Chin
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California, Los Angeles, CA, USA
Abstract :
In this paper, an adaptive control algorithm is proposed to reject unknown deterministic disturbances and minimize output variance. The proposed algorithm contains two adaptive control actions. One rejects a set of unidentified deterministic disturbances by an adaptive internal model with online frequency identification. The other minimizes the output variance using an adaptive finite impulse response filter. The stability and performance of the proposed algorithm are analyzed and demonstrated by simulation results.
Keywords :
FIR filters; adaptive control; adaptive filters; frequency estimation; least squares approximations; minimisation; recursive filters; stability; stochastic systems; adaptive control; adaptive internal model; deterministic sinusoidal disturbance rejection; online frequency identification; output variance minimization; recursive least square adaptive finite impulse response filter; stability; stochastic sinusoidal disturbance rejection; Adaptive control; Costs; Filters; Frequency estimation; Hydrogen; Performance analysis; Programmable control; Resonance light scattering; Stochastic processes; Stochastic resonance;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160730
