Patents by Inventor Sebastian Gaulocher

Sebastian Gaulocher 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).

  • 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
  • Patent number: 8364459
    Abstract: A method is disclosed for estimating states of a power electronic system, the system having a converter circuit. An exemplary method includes varying a system state vector x(k) and a system state vector x(k+1) for each of sampling times k=?N+1 to k=0 in such a manner that a sum formed by an addition of a first vector norm obtained by subtracting a first system model function f(x(k), u(k)) from the system state vector x(k+1), and another vector norm obtained by subtracting a second system model function g(x(k), u(k)) from the output variable vector y(k), becomes minimal over the sampling times k=?N+1 to k=0. A desired system state vector x(k) at the sampling time k=0 can then be selected.
    Type: Grant
    Filed: September 11, 2009
    Date of Patent: January 29, 2013
    Assignee: ABB Research Ltd.
    Inventors: Sebastian Gaulocher, Georgios Papafotiou
  • 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
  • Publication number: 20100070247
    Abstract: A method is disclosed for estimating states of a power electronic system, the system having a converter circuit. An exemplary method includes varying a system state vector x(k) and a system state vector x(k+1) for each of sampling times k=?N+1 to k=0 in such a manner that a sum formed by an addition of a first vector norm obtained by subtracting a first system model function f(x(k), u(k)) from the system state vector x(k+1), and another vector norm obtained by subtracting a second system model function g(x(k), u(k)) from the output variable vector y(k), becomes minimal over the sampling times k=?N+1 to k=0. A desired system state vector x(k) at the sampling time k=0 can then be selected.
    Type: Application
    Filed: September 11, 2009
    Publication date: March 18, 2010
    Applicant: ABB Research Ltd.
    Inventors: Sebastian Gaulocher, Georgios Papafotiou