Title
Adaptive rejection of stochastic and deterministic sinusoidal disturbances with unknown frequency
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.
Year
DOI
Venue
2009
10.1109/ACC.2009.5160730
St. Louis, MO
Keywords
DocType
ISSN
unknown frequency,adaptive finite impulse response,deterministic sinusoidal disturbance,output variance,adaptive control action,stochastic systems,frequency estimation,unknown deterministic disturbance,adaptive rejection,deterministic sinusoidal disturbance rejection,output variance minimization,adaptive control algorithm,stochastic sinusoidal disturbance rejection,least squares approximations,adaptive control,fir filters,adaptive filters,proposed algorithm,online frequency identification,adaptive internal model,unidentified deterministic disturbance,recursive least square adaptive finite impulse response filter,simulation result,stability,minimisation,recursive filters,stochastic resonance,finite impulse response,mathematical model,internal model,hydrogen,stochastic processes,frequency control
Conference
0743-1619 E-ISBN : 978-1-4244-4524-0
ISBN
Citations 
PageRank 
978-1-4244-4524-0
1
0.37
References 
Authors
15
3
Name
Order
Citations
PageRank
Yigang Wang115122.44
Kevin C. Chu231.74
Tsu-Chin Tsao313537.12