DocumentCode :
3553672
Title :
Fast prediction/estimation techniques for control systems and IIR filters
Author :
Pan, Ji-Qin ; Levine, William S.
Author_Institution :
Maryland Univ., College Park, MD, USA
fYear :
1991
fDate :
7-10 Apr 1991
Firstpage :
188
Abstract :
As a generalization of the fundamental Levinson algorithm to linear modeling of control systems and IIR (infinite impulse response) filters, the fast order recursive algorithm (ORA) and the time and order recursive algorithm (TORA) have been developed. However, only the ORA and TORA which operate recursively in the order of the autoregressive part of system outputs have been presented. The authors give a detailed description of the ORA which operates recursively in the order of the moving-average part of the system inputs. In addition, a numerical example is given which illustrates how the ORA operates
Keywords :
control system analysis; digital filters; filtering and prediction theory; parameter estimation; statistical analysis; IIR filters; autoregressive part; control systems; fast order recursive algorithm; linear modeling; moving-average part; parameter estimation; time and order recursive algorithm; Autocorrelation; Computational complexity; Control systems; Equations; IIR filters; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
Type :
conf
DOI :
10.1109/SECON.1991.147733
Filename :
147733
Link To Document :
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