Patents by Inventor Hamed Foroush

Hamed Foroush 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).

  • Estimating initial states of a system model for controlling an industrial process
    Patent number: 9285787
    Abstract: A model-based control of an industrial process using a merged MLD system model is provided for the estimation and subsequent control of the process. An optimization of an objective function is performed. The objective function includes a difference between an observed quantity and an output variable of a Mixed Logical Dynamic (MLD) system model of the process. The optimization is performed as a function of state variables of the MLD system model, over a number of time steps in the past, and subject to constraints defined by the MLD system model's dynamics. The optimizing values of the state variables are retained as estimated initial states for subsequent control of the process in a model-based manner including the same MLD system model. The single MLD system model is a combination or merger of individual MLD subsystem models representing the sub-processes of the process, and may be elaborated during a customization step.
    Type: Grant
    Filed: December 22, 2011
    Date of Patent: March 15, 2016
    Assignee: ABB RESEARCH LTD
    Inventors: Alvarez Eduardo Gallestey, Jan Poland, Konrad Stadler, Sebastian Gaulocher, Hamed Foroush
  • ESTIMATING INITIAL STATES OF A SYSTEM MODEL FOR CONTROLLING AN INDUSTRIAL PROCESS
    Publication number: 20120150507
    Abstract: A model-based control of an industrial process using a merged MLD system model is provided for the estimation and subsequent control of the process. An optimization of an objective function is performed. The objective function includes a difference between an observed quantity and an output variable of a Mixed Logical Dynamic (MLD) system model of the process. The optimization is performed as a function of state variables of the MLD system model, over a number of time steps in the past, and subject to constraints defined by the MLD system model's dynamics. The optimizing values of the state variables are retained as estimated initial states for subsequent control of the process in a model-based manner including the same MLD system model. The single MLD system model is a combination or merger of individual MLD subsystem models representing the sub-processes of the process, and may be elaborated during a customization step.
    Type: Application
    Filed: December 22, 2011
    Publication date: June 14, 2012
    Applicant: ABB RESEARCH LTD
    Inventors: Alvarez Eduardo Gallestey, Jan Poland, Konrad Stadler, Sebastian Gaulocher, Hamed Foroush