Identification of linear dynamic systems

1 October 1964

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 3, 86-101
https://doi.org/10.1109/sap.1964.271136

Abstract

A real time computational method is presented for the identification of linear discrete dynamic systems with unknown parameters. It is shown that the method is globally convergent to the true parameters in a stochastic environment. Experimental simulation of second and fourth-order systems further affirms the practicality of the method.

Keywords

CONVERGENCE
REAL TIME SYSTEMS
MOTION CONTROL
CONTROL SYSTEMS
NONLINEAR EQUATIONS
SMOOTHING METHODS
BOUNDARY VALUE PROBLEMS
MOTION ESTIMATION
ESTIMATION ERROR
STOCHASTIC SYSTEMS

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