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:
Oct. 11, 2011

Filed:

Sep. 26, 2008
Applicants:

Ashish Mehta, Goa, IN;

Peter Wojsznis, Austin, TX (US);

Marty J. Lewis, Cedar Park, TX (US);

Larry O. Jundt, Round Rock, TX (US);

Nathan W. Pettus, Georgetown, TX (US);

Inventors:

Ashish Mehta, Goa, IN;

Peter Wojsznis, Austin, TX (US);

Marty J. Lewis, Cedar Park, TX (US);

Larry O. Jundt, Round Rock, TX (US);

Nathan W. Pettus, Georgetown, TX (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
Abstract

A controller includes a control module to control operation of a process in response to control data, a plug-in module coupled to the control module as a non-layered, integrated extension thereof, and a model identification engine. The plug-in detects a change in the control data, and a collects the control data and data in connection with a condition of the process in response to the detected change. The model identification engine executes a plurality of model parameter identification cycles. Each cycle includes simulations of the process each having different simulation parameter values and each using the control data as an input, an estimation error calculation for each simulation based on an output of the simulation and based on the operating condition data, and a calculation of a model parameter value based on the estimation errors and simulation parameter values used in the simulation corresponding to each of the estimation errors.


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