On-line identification of distributed parameter systems
โ 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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โฆ 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. *
๐ SIMILAR VOLUMES
A particular method, based on Galerkin's Criterion, provides efficient algorithms for identifying distributed system parameters by reducing the partial differential equations to a set of ordinary differential equations containing the parameters. Summary--A method is presented for estimating paramet
A method 1s presented for determmmg fimte stabdlty regons for dlstnbuted parameter systems whose transient behavior IS governed by a smgle parabolic dlfferentlal equation The case of an a&abatlc catalytic reactlon IS &scussed m detad However, the same techmques can be apphed to many other systems m