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On-line identification of distributed parameter systems

โœ Scribed by M.H. Hamza; M.A. Sheirah


Publisher
Elsevier Science
Year
1973
Tongue
English
Weight
694 KB
Volume
9
Category
Article
ISSN
0005-1098

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โœฆ Synopsis


Non-linear programming can be used for the on-line identification of distributed parameter systems and can lead to an optimum identifier.

Summary--A method is suggested for the identification of distributed parameter systems. The method is suitable for on-line identification and uses non-linear programming to minimize the integral of the weighted error squared over an observation interval. An exponential form for the weighting function is used. The factors which affect the identification are studied, and an optimal identifier is determined.

A closed form expression for the estimated parameters is derived in the case of systems with slowly varying parameters. The effect of noise is studied. Experimental results are given to show the applicability of the methods suggested. *


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