Patents by Inventor Shengjing Mu

Shengjing Mu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method of model identification for a process with unknown initial conditions in an industrial plant
    Patent number: 8930001
    Abstract: A method of model identification for a process with unknown initial conditions in an industrial plant, the method comprising collecting a set of manipulated variables and corresponding set of process variables from the process; obtaining a plurality of manipulated variables from the collected set of manipulated variables; for each of the plurality of manipulated variables, obtaining optimal model parameters of a model transfer function and computing a model fitting index for optimized simulated process variables generated by the model transfer function using the optimal model parameters; identifying a best model fitting index among the model fitting indices computed; selecting a manipulated variable associated with the best model fitting index as an initial steady state condition for the model transfer function; and selecting the optimal model parameters corresponding with the best model fitting index as the best model parameters of the model transfer function to tune the controller.
    Type: Grant
    Filed: September 19, 2011
    Date of Patent: January 6, 2015
    Assignee: Yokogawa Electric Corporation
    Inventors: Shengjing Mu, Stephen Wei Hong Weng, Joseph Ching Hua Lee
  • METHOD OF MODEL IDENTIFICATION FOR A PROCESS WITH UNKNOWN INITIAL CONDITIONS IN AN INDUSTRIAL PLANT
    Publication number: 20130073061
    Abstract: A method of model identification for a process with unknown initial conditions in an industrial plant, the method comprising collecting a set of manipulated variables and corresponding set of process variables from the process; obtaining a plurality of manipulated variables from the collected set of manipulated variables; for each of the plurality of manipulated variables, obtaining optimal model parameters of a model transfer function and computing a model fitting index for optimized simulated process variables generated by the model transfer function using the optimal model parameters; identifying a best model fitting index among the model fitting indices computed; selecting a manipulated variable associated with the best model fitting index as an initial steady state condition for the model transfer function; and selecting the optimal model parameters corresponding with the best model fitting index as the best model parameters of the model transfer function to tune the controller.
    Type: Application
    Filed: September 19, 2011
    Publication date: March 21, 2013
    Applicant: YOKOGAWA ELECTRIC CORPORATION
    Inventors: Shengjing Mu, Stephen Wei Hong Weng, Joseph Ching Hua Lee