A SURVEY OF METHODS FOR DYNAMIC SYSTEM IDENTIFICATION AND RESEARCH IN OPTICAL COHERENCE
UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES ENGINEERING CENTER
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The parameter space approach is believed to represent a new point of view regarding the general problem of system identification. The method is restricted only by the requirement that a parametric model of finite dimensionality must be provided for the system under test. The parameter space method involves the determination of transformations defined over a finite dimensional vector other than over a Hilbert space. In addition to the computational advantages gained by a parameter space approach, there is the further advantage that no special test signals are required as in the Wiener theory. The model for a nonlinear system can be inferred from normal operating records. The current phase of this research is directed toward the development of explicit computational procedures for carrying out the proposed minimization of error functionals by parameter space methods. A detailed study of certain aspects of the theory of optical coherence was carried out.
- Optical Detection and Detectors