Title :
Estimation of pulse transfer function parameters by quasilinearization
Author_Institution :
General Electric Company, Daytona Beach, FL, USA
fDate :
8/1/1968 12:00:00 AM
Abstract :
An iterative algorithm for the identification of single-input single-output linear stationary discrete systems is developed using the method of quasilinearization. The resulting procedure is similar to mode 1 of the method of Steiglitz and McBride but has the advantage of the quadratic convergence property of quasilineariza-tion. It is shown that this algorithm becomes mode 1 if the measured plant output is used in the calculations in place of the model output. Consequently, the two methods are extremely compatible and it is a simple matter to combine them in a single program, which generates its own initial estimates has the wide range of convergence of mode 1, and possesses the quadratic convergence property of quasilineariza-tion for final convergence to a solution. The method also permits the estimation of plant initial conditions in those cases where they must be considered. Results of a few numerical applications are discussed.
Keywords :
Parameter estimation; Pulse transfer functions; System identification; Convergence; Current measurement; Gaussian noise; Iterative algorithms; Iterative methods; Kalman filters; Least squares approximation; Maximum likelihood estimation; Transfer functions; Yield estimation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1968.1098944