1
Bijan Sayyarrodsari, Eric Hartman, Celso Axelrud, Kidir Liano: System and method of adaptive control of processes with varying dynamics. Pavilion Technologies, Meyertons Hood Kivlin Kowert & Goetzel P C, Jeffrey C Hood, May 2, 2006: US07039475 (40 worldwide citation)

The present invention provides a method for controlling nonlinear process control problems. This method involves first utilizing modeling tools to identify variable inputs and controlled variables associated with the process, wherein at least one variable input is a manipulated variable. The modelin ...


2
Bijan Sayyarrodsari, Eric Hartman, Celso Axelrud, Kadir Liano: System and method of applying adaptive control to the control of particle accelerators with varying dynamics behavioral characteristics using a nonlinear model predictive control technology. Pavilion Technologies, Meyertons Hood Kivlin Kowert & Goetzel P C, Jeffrey C Hood, February 27, 2007: US07184845 (23 worldwide citation)

The present invention provides a method for controlling nonlinear control problems within particle accelerators. This method involves first utilizing software tools to identify variable inputs and controlled variables associated with the particle accelerator, wherein at least one variable input para ...


3
Eric J Hartman, Carl A Schweiger, Bijan Sayyarrodsari, W Douglas Johnson: Training a support vector machine with process constraints. Rockwell Automation Technologies, Fletcher Yoder, William R Walbrun, October 6, 2009: US07599897 (20 worldwide citation)

System and method for training a support vector machine (SVM) with process constraints. A model (primal or dual formulation) implemented with an SVM and representing a plant or process with one or more known attributes is provided. One or more process constraints that correspond to the one or more k ...


4
Bijan Sayyarrodsari, Eric Hartman, Celso Axelrud, Kadir Liano: Controlling a non-linear process with varying dynamics using non-linear model predictive control. Rockwell Automation Technologies, Fletcher Yoder PC, Alexander R Kuszewski, October 6, 2009: US07599749 (20 worldwide citation)

The present invention provides a method for controlling nonlinear control problems within particle accelerators. This method involves first utilizing software tools to identify variable inputs and controlled variables associated with the particle accelerator, wherein at least one variable input para ...


5
Bijan Sayyarrodsari, Kadir Liano, Alexander B Smith: Secure models for model-based control and optimization. Rockwell Automation Technologies, Fletcher Yoder P C, March 22, 2016: US09292012 (3 worldwide citation)

In certain embodiments, a control/optimization system includes an instantiated model object stored in memory on a model server. The model object includes a model of a plant or process being controlled. The model object comprises an interface that precludes the transmission of proprietary information ...


6
Jan Kolinsky, Jiri Hanzlik, Petr Horacek, Bijan Sayyarrodsari: Stabilized deteministic optimization based control system and method. Rockwell Automation Technologies, Fletcher Yoder P C, July 26, 2016: US09400491

The embodiments described herein include one embodiment that provides a control method, including determining a first stabilizing feasible control trajectory of a plurality of variables of a controlled process, determining a second stabilizing feasible control trajectory for the plurality of variabl ...


7
Bijan Sayyarrodsari, Jan Kolinsky, Jiri Hanzlik, Petr Horacek, Kadir Liano: Deterministic optimization based control system and method for linear and non-linear systems. Rockwell Automation Technologies, Fletcher Yoder P C, September 20, 2016: US09448546

The embodiments described herein include one embodiment that provides a control method including determining a linear approximation of a pre-determined non-linear model of a process to be controlled, determining a convex approximation of the nonlinear constraint set, determining an initial stabilizi ...


8
Bijan Sayyarrodsari, Kadir Liano, Wei Dai: Optimization based controller tuning systems and methods. Rockwell Automation Technologies, Fletcher Yoder P C, November 27, 2018: US10139809

One embodiment of the present disclosure describes an industrial system, which includes a control system that controls operation of an industrial process by instructing an automation component in the industrial system to implement a manipulated variable setpoint. The control system includes a proces ...


9
Bijan Sayyarrodsari, Kadir Liano, Alexander B Smith: Online integration of model-based optimization and model-less control. Rockwell Automation Technologies, Fletcher Yoder P C, March 22, 2016: US09292010

In certain embodiments, a control system includes a model-less controller configured to control operation of a plant or process. The control system also includes an automation controller operatively connected for access to a model of the plant or process being controlled by the model-less controller ...


10
Kadir Liano, Bijan Sayyarrodsari, Carl Anthony Schweiger: Extrapolating empirical models for control, prediction, and optimization applications. Rockwell Automation Technologies, Fletcher Yoder P C, Willilam R Walbrunn, John M Miller, May 28, 2013: US08452719

The present disclosure provides novel techniques for defining empirical models having control, prediction, and optimization modalities. The empirical models may include neural networks and support vector machines. The empirical models may include asymptotic analysis as part of the model definition a ...