Los puntos clave no están disponibles para este artículo en este momento.
This paper presents a survey of a number of techniques for the identification of dynamic systems using computer techniques. The techniques discussed are particularly suited to digital or hybrid computer implementation. It is not intended to be a complete survey of the vast field of system identification, nor even the area of parameter estimation. Rather, it presents a discussion and compari son of several techniques which appear particularly use ful at the present time, including spectral analysis, search and gradient methods, quasi-linearization, and stochas tic approximation. Other related methods are discussed briefly.
George A. Bekey (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: