Patents by Inventor Michio Sugeno

Michio Sugeno 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).

  • System and method for feedback error learning in non-linear systems
    Patent number: 10152037
    Abstract: A method for operating an actuator is disclosed. The actuator may be a linear or non-linear actuator. In one example, a pseudo-inverse piecewise bilinear model is adapted in response to output of a feedback controller to improve feed forward control.
    Type: Grant
    Filed: July 9, 2013
    Date of Patent: December 11, 2018
    Assignee: Ford Global Technologies, LLC
    Inventors: Dimitar Petrov Filev, Michio Sugeno, Yan Wang, Luka Eciolaza, Tadanari Taniguchi, John Ottavio Michelini
  • SYSTEM AND METHOD FOR FEEDBACK ERROR LEARNING IN NON-LINEAR SYSTEMS
    Publication number: 20150018981
    Abstract: A method for operating an actuator is disclosed. The actuator may be a linear or non-linear actuator. In one example, a pseudo-inverse piecewise bilinear model is adapted in response to output of a feedback controller to improve feed forward control.
    Type: Application
    Filed: July 9, 2013
    Publication date: January 15, 2015
    Inventors: Dimitar Petrov Filev, Michio Sugeno, Yan Wang, Luka Eciolaza, Tadanari Taniguchi, John Ottavio Michelini
  • Everyday language-based computing system and method
    Publication number: 20020111786
    Abstract: The everyday language-based computing system 1 comprises a client-oriented language computing system 10 and a network-oriented language computing system 20 connected thereto. The language-based computing systems 10 and 20 include language computers 12 and 22 for processing a language text described or dictated by an everyday language, and language-based operating systems 16 and 26 for managing the language computers 12 and 22 by the everyday language, respectively. The language computers 12 and 22 include semiotic bases 13 and 23 which are prepared by structuring the system of meanings of the everyday language, and meaning processing mechanisms 14 and 24 for understanding the meaning of the language text and generating a language text on the basis of the semiotic bases 13 and 23, respectively.
    Type: Application
    Filed: February 8, 2002
    Publication date: August 15, 2002
    Inventors: Michio Sugeno, Ichiro Kobayashi, Noriko Ito, Michiaki Iwazume