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.
Patent No.:
Date of Patent:
Oct. 27, 2015
Filed:
Jul. 06, 2011
Ward Macarthur, Scottsdale, AZ (US);
Sriram Hallihole, Karnataka, IN;
Ranganathan Srinivasan, Karnataka, IN;
Madhukar Madhavamurthy Gundappa, Karnataka, IN;
Mandar Subhash Vartak, Karnataka, IN;
Gobinath Pandurangan, Karnataka, IN;
S. Chandrakanth Vittal, Bangalore, IN;
Lucy Ning Liu, Peoria, AZ (US);
Sanjay Kantilal Dave, Karnataka, IN;
Avijit Das, Karnataka, IN;
Sreesathya Sathyabhama Sreekantan, Tamilnadu, IN;
Roshan Yohannan, Karnataka, IN;
Rajni Jain, Karnataka, IN;
Ward MacArthur, Scottsdale, AZ (US);
Sriram Hallihole, Karnataka, IN;
Ranganathan Srinivasan, Karnataka, IN;
Madhukar Madhavamurthy Gundappa, Karnataka, IN;
Mandar Subhash Vartak, Karnataka, IN;
Gobinath Pandurangan, Karnataka, IN;
S. Chandrakanth Vittal, Bangalore, IN;
Lucy Ning Liu, Peoria, AZ (US);
Sanjay Kantilal Dave, Karnataka, IN;
Avijit Das, Karnataka, IN;
Sreesathya Sathyabhama Sreekantan, Tamilnadu, IN;
Roshan Yohannan, Karnataka, IN;
Rajni Jain, Karnataka, IN;
Honeywell International Inc., Morristown, NJ (US);
Abstract
A method of dynamic model selection for hybrid linear/non-linear process control includes developing a plurality of process models including at least one linear process model and at least one non-linear process model from inputs including dynamic process data from a processing system that runs a physical process. At least two of the plurality of process models are selected based on a performance comparison based on at least one metric, wherein the selected process models number less than a number of the plurality of process models received. A multi-model controller is generated that includes the selected process models. The physical process is simulated using the multi-model controller by applying the selected process models to obtain closed loop performance test data for each of the selected models. The performance test data is compared. A selected process model is then selected.