Aveva Software, LLC

Schneider Electric Software, LLC

Rajkumar Vedam

Purt Tanartkit

Detong Zhang

Gareth Hillier

James Jude Kattapuram

Kishore Kumar Hemachandran

Mallikarjun Avanna Lavate

Sanjay Desai

Sankararao Boddupalli

John C Hernandez

Pranav Bhaswanth Madabhushi

Sreenivas Rao Bukka

Peter Le

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.

Adaptive mixed integer nonlinear programming for process management

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.

Process optimization by grouping mixed integer nonlinear programming constraints

Some embodiments include a server system including a first logic module executable by a processor for receiving a data communication from an industrial control system coupled to a communications network. In some embodiments, the data communication comprises data or data streams associated with the industrial process. The program logic of the first logic module includes a model configured to receive a variable and iterate and converge an optimization problem to an optimization solution to a first level of optimization based at least in part on the variable and the data or data streams. A second logic module executable by the processor is operatively data-linked to the first logic module and utilizes a model to iteratively process data values of the optimization solution to a second level of optimization with an increased level of optimization over the first level of optimization.

Process optimization server and system

A processor connected to a process module executes processor executable instructions stored on the process module according to process input data received by a process definition interface, according to variables input data received by a variables interface. A non-linear correction factor as defined by a non-linear correction factor module is applied to provide a solution to an iterative process. A processor implemented process solves a process problem and comprises processor executable instructions stored on a tangible storage device.

Iterative system and process with non-linear correction factors

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Katy, TX, United States of America

Rajkumar Vedam