Title :
A two-stage least-squares procedure for system identification
Author_Institution :
University of California, Davis, CA, USA
fDate :
6/1/1981 12:00:00 AM
Abstract :
A new two-stage least-squares method is developed for system identification. This method is computationally simpler than earlier methods when the system order is high. The method is then experimentally compared with other methods. Moreover, recursive algorithms for on-line identification are presented along with computer simulation data.
Keywords :
Least-squares methods; Recursive estimation; System identification, linear systems; Chebyshev approximation; Computational modeling; Design methodology; Frequency; Linear systems; Nonlinear equations; Parameter estimation; Power generation; System identification; Yield estimation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1981.1102726
