Probabilistic design tool for optimizing a technical system

Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression

Reexamination Certificate

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Reexamination Certificate

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07920995

ABSTRACT:
A nonlinear technical product or process described by stochastic system output target values dependent on stochastic system input parameter values, thereby stating discrete technical system dependencies, is optimized by using a Response Surface Methods based on discrete technical system dependencies to generate at least one continuous auxiliary function for the real dependencies of the target values on the input parameter values. Next, an auxiliary function is used to generate at least one optimizing parameter for optimization by an objective function, thereby generating an additional discrete technical system dependence. The technical system is adaptively optimized by repeating the above, using the additional discrete technical system dependence, until the difference of successive optimized optimizing parameters is below a threshold. The final additional discrete technical system dependence is an optimal technical system operating point.

REFERENCES:
patent: 2002/0062212 (2002-05-01), Nakatsuka
patent: 2004/0059621 (2004-03-01), Jameson
patent: 103 08 314 (2004-09-01), None
Khoukhi, Recursive and optimal multi-level algorithms for the identification of stochastic systems applications to bipeds control and identification, Sep. 2001, Micromechatronics and Human Science, 2001. MHS 2001. Proceedings of 2001 International Symposium, pp. 169-174.
Standard Formulary for Physics; (Formula Symbols, Units, Short Symbols and Correlation); Verlag Harri Deutsch, Thun und Frankfurt/Main, 1985, chapter 3. pp. 39-50.

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