Title :
A more efficient way to estimate step response coefficients using the FSF model
Author :
Wang, L. ; Cluett, W.R.
Author_Institution :
Dept. of Chem. Eng., Toronto Univ., Ont., Canada
fDate :
29 June-1 July 1994
Abstract :
This paper describes a more efficient approach to estimating an impulse or step response model of a linear system which involves first obtaining its frequency response using the frequency sampling filter (FSF) model. The authors show that the FSF model has an effective or true model order which is in general lower than that of its time domain counterparts, particularly in a fast sampling environment.
Keywords :
filtering theory; frequency response; linear systems; predictive control; sampled data systems; step response; transfer functions; transient response; fast sampling environment; frequency response; frequency sampling filter model; impulse response model; linear system; step response coefficients; Adaptive control; Context modeling; Frequency estimation; Frequency response; Linear systems; Nonlinear filters; Predictive models; Sampling methods; State feedback; Transfer functions;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.751794
