The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 26, 2015

Filed:

Apr. 12, 2010
Applicants:

Volkmar Sterzing, Neubiberg, DE;

Steffen Udluft, Eichenau, DE;

Jatinder Singh, Orlando, FL (US);

Hans-gerd Brummel, Berlin, DE;

Glenn E. Sancewich, Cocoa, FL (US);

Inventors:

Volkmar Sterzing, Neubiberg, DE;

Steffen Udluft, Eichenau, DE;

Jatinder Singh, Orlando, FL (US);

Hans-Gerd Brummel, Berlin, DE;

Glenn E. Sancewich, Cocoa, FL (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/02 (2006.01); G06F 7/60 (2006.01); G06N 99/00 (2010.01); G05B 13/04 (2006.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); G05B 13/048 (2013.01); G05B 2219/33032 (2013.01); G05B 2219/34082 (2013.01); G05B 2219/42152 (2013.01);
Abstract

A method for computer-aided closed and/or open-loop control of a technical system is provided. A first value of an output quantity is predicted on a data-based model at a current point in time. A second value of the output quantity is determined from an analytical model. The state of the technical system at the current point is assigned a confidence score in the correctness of prediction of the data-based model. A third value of the output quantity is determined from the first and second value as a function of the confidence score for controlling the technical system. A suitable value for the output quantity can be derived from the analytical model even for regions of the technical system in which the quality of prediction of the data-based model is low because of a small set of training data. The technical systems can be turbines, such as gas turbines.


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