Patents by Inventor Gareth Hillier

Gareth Hillier 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).

  • Adaptive mixed integer nonlinear programming for process management
    Patent number: 11835928
    Abstract: Real-time dynamic process modeling in an online model-based process control computing environment. A solver system utilizes an oracle to implement adaptive algorithms for a mixed integer nonlinear programming (MINLP) solver and a nonlinear programming (NLP) solver.
    Type: Grant
    Filed: January 25, 2021
    Date of Patent: December 5, 2023
    Assignee: AVEVA SOFTWARE, LLC
    Inventors: Rajkumar Vedam, Detong Zhang, Purt Tanartkit, Gareth Hillier, Sanjay Desai, John C. Hernandez
  • Process optimization by grouping mixed integer nonlinear programming constraints
    Patent number: 11762345
    Abstract: Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.
    Type: Grant
    Filed: July 13, 2021
    Date of Patent: September 19, 2023
    Assignee: AVEVA SOFTWARE, LLC
    Inventors: Rajkumar Vedam, James Jude Kattapuram, Kishore Kumar Hemachandran, Sankararao Boddupalli, Pranav Bhaswanth Madabhushi, Gareth Hillier, Mallikarjun Avanna Lavate, Detong Zhang, Purt Tanartkit
  • PROCESS OPTIMIZATION BY GROUPING MIXED INTEGER NONLINEAR PROGRAMMING CONSTRAINTS
    Publication number: 20220004153
    Abstract: Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.
    Type: Application
    Filed: July 13, 2021
    Publication date: January 6, 2022
    Inventors: Rajkumar Vedam, James Jude Kattapuram, Kishore Kumar Hemachandran, Sankararao Boddupalli, Pranav Bhaswanth Madabhushi, Gareth Hillier, Mallikarjun Avanna Lavate, Detong Zhang, Purt Tanartkit
  • Process optimization by grouping mixed integer nonlinear programming constraints
    Patent number: 11099528
    Abstract: Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: August 24, 2021
    Assignee: AVEVA SOFTWARE, LLC
    Inventors: Rajkumar Vedam, James Jude Kattapuram, Kishore Kumar Hemachandran, Sankararao Boddupalli, Pranav Bhaswanth Madabhushi, Gareth Hillier, Mallikarjun Avanna Lavate, Detong Zhang, Purt Tanartkit
  • ADAPTIVE MIXED INTEGER NONLINEAR PROGRAMMING FOR PROCESS MANAGEMENT
    Publication number: 20210247726
    Abstract: Real-time dynamic process modeling in an online model-based process control computing environment. A solver system utilizes an oracle to implement adaptive algorithms for a mixed integer nonlinear programming (MINLP) solver and a nonlinear programming (NLP) solver.
    Type: Application
    Filed: January 25, 2021
    Publication date: August 12, 2021
    Inventors: Rajkumar Vedam, Detong Zhang, Purt Tanartkit, Gareth Hillier, Sanjay Desai, John C. Hernandez
  • Adaptive mixed integer nonlinear programming for process management
    Patent number: 10908563
    Abstract: Real-time dynamic process modeling in an online model-based process control computing environment. A solver system utilizes an oracle to implement adaptive algorithms for a mixed integer nonlinear programming (MINLP) solver and a nonlinear programming (NLP) solver.
    Type: Grant
    Filed: November 27, 2018
    Date of Patent: February 2, 2021
    Assignee: AVEVA SOFTWARE, LLC
    Inventors: Rajkumar Vedam, Detong Zhang, Purt Tanartkit, Gareth Hillier, Sanjay Desai, John C. Hernandez
  • ADAPTIVE MIXED INTEGER NONLINEAR PROGRAMMING FOR PROCESS MANAGEMENT
    Publication number: 20190332070
    Abstract: Real-time dynamic process modeling in an online model-based process control computing environment. A solver system utilizes an oracle to implement adaptive algorithms for a mixed integer nonlinear programming (MINLP) solver and a nonlinear programming (NLP) solver.
    Type: Application
    Filed: November 27, 2018
    Publication date: October 31, 2019
    Inventors: Rajkumar Vedam, Detong Zhang, Purt Tanartkit, Gareth Hillier, Sanjay Desai, John C. Hernandez
  • PROCESS OPTIMIZATION BY GROUPING MIXED INTEGER NONLINEAR PROGRAMMING CONSTRAINTS
    Publication number: 20190332071
    Abstract: Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.
    Type: Application
    Filed: May 14, 2019
    Publication date: October 31, 2019
    Inventors: Rajkumar Vedam, James Jude Kattapuram, Kishore Kumar Hemachandran, Sankararao Boddupalli, Pranav Bhaswanth Madabhushi, Gareth Hillier, Mallikarjun Avanna Lavate, Detong Zhang, Purt Tanartkit
  • Process optimization by grouping mixed integer nonlinear programming constraints
    Patent number: 10310458
    Abstract: Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: June 4, 2019
    Assignee: Schneider Electric Software, LLC
    Inventors: Rajkumar Vedam, James Jude Kattapuram, Kishore Kumar Hemachandran, Sankararao Boddupalli, Pranav Bhaswanth Madabhushi, Gareth Hillier, Mallikarjun Avanna Lavate, Detong Zhang, Purt Tanartkit
  • Adaptive mixed integer nonlinear programming for process management
    Patent number: 10152036
    Abstract: Real-time dynamic process modeling in an online model-based process control computing environment. A solver system utilizes an oracle to implement adaptive algorithms for a mixed integer nonlinear programming (MINLP) solver and a nonlinear programming (NLP) solver.
    Type: Grant
    Filed: December 30, 2015
    Date of Patent: December 11, 2018
    Assignee: Schneider Electric Software, LLC
    Inventors: Rajkumar Vedam, Detong Zhang, Purt Tanartkit, Gareth Hillier, Sanjay Desai, John C. Hernandez
  • ADAPTIVE MIXED INTEGER NONLINEAR PROGRAMMING FOR PROCESS MANAGEMENT
    Publication number: 20170192397
    Abstract: Real-time dynamic process modeling in an online model-based process control computing environment. A solver system utilizes an oracle to implement adaptive algorithms for a mixed integer nonlinear programming (MINLP) solver and a nonlinear programming (NLP) solver.
    Type: Application
    Filed: December 30, 2015
    Publication date: July 6, 2017
    Applicant: Invensys Systems, Inc.
    Inventors: Rajkumar Vedam, Detong Zhang, Purt Tanartkit, Gareth Hillier, Sanjay Desai, John C. Hernandez
  • PROCESS OPTIMIZATION BY GROUPING MIXED INTEGER NONLINEAR PROGRAMMING CONSTRAINTS
    Publication number: 20170176959
    Abstract: Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.
    Type: Application
    Filed: December 22, 2015
    Publication date: June 22, 2017
    Applicant: Invensys Systems, Inc.
    Inventors: Rajkumar Vedam, James Jude Kattapuram, Kishore Kumar Hemachandran, Sankararao Boddupalli, Pranav Bhaswanth Madabhushi, Gareth Hillier, Mallikarjun Avanna Lavate, Detong Zhang, Purt Tanartkit