Comparison of some methods used for process identification

Authors:
M. Cuenod;A. P. Sage
Affiliations:
Société Générale pour L'Industrie, Geneva, Switzerland;Information and Control Sciences Center, S.M.U. Dallas, Texas, U.S.A.
Venue:
Automatica (Journal of IFAC)
Year:
1968

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Abstract

This survey paper presents a discussion and comparison of various numerical techniques used for process identification. Among the methods discussed are identification by *- numerical deconvolution *- auto-correlation and cross-correlation *- spectral density *- sinusoidal response measurement *- learning models *- Wiener theory of nonlinear systems *- differential approximation *- gradient techniques *- quasilinearization *- invariant imbedding The purpose of this report is to introduce the principle of some of these different methods and compare the result of their application to simple problems.