Method for creating a non-linear, stationary or dynamic...

Details Method for creating a non-linear, stationary or dynamic... Method for creating a non-linear, stationary or dynamic...

2005-06-29

2008-10-28

Hartman, Jr., Ronald D (Department: 2121)

Data processing: generic control systems or specific application

Generic control system, apparatus or process

Optimization or adaptive control

C700S029000, C700S031000, C700S047000, C700S048000, C700S049000, C700S050000, C700S052000, C703S013000

Reexamination Certificate

active

07444190

ABSTRACT:
A method for creating a non-linear, stationary or dynamic overall model of a control variable of a combustion engine or partial systems thereof is based on simplified partial model functions that are used to determine in a weighted fashion at each desired operating point the total output quantities from the partial model function with an associated weighting function. The difference between the total output quantity and the real value is determined for all real operating points; and in areas of operating points with an absolute value of this difference that is above the preset value, a further model function with a further associated weighting function is used for which the absolute value of the difference stays below the preset value.The steps for determining the difference between the total output quantity of the associated partial model functions and a real value of the control value as well as the application of a further model and weighting function are executed as many times as needed until the statistically evaluated prediction quality of the overall model has reached a desired value.

REFERENCES:
patent: 7212915 (2007-05-01), Dudek
O. Nelles et al., “Comparison of Two Construction Algorithms for Takagi-Sugeno Fuzzy Models,” 7thEuropean Congress on Intelligent Techniques and Soft Computing, EUFIT'99, Hachen, Germany, Sep. 13-16, 1999.
O. Nelles et al., “Local Linear Model Trees (Lolimot) Toolbox for Nonlinear System Identification,” 12thIFAC Symposium on System Identification (SYSID 2000), Jun. 21-23, 2000, Santa Barbara, CA.

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