1
Stephen Piche, James David Keeler, Eric Hartman, William D Johnson, Mark Gerules, Kadir Liano: Method for steady-state identification based upon identified dynamics. Pavilion Technologies, Gregory M Howison, April 4, 2000: US06047221 (130 worldwide citation)

A method for modeling a steady-state network in the absence of steady-state historical data. A steady-state neural network can be tied by impressing the dynamics of the system onto the input data during the training operation by first determining the dynamics in a local region of the input space, th ...


2
Eric Hartman, Bruce Ferguson, Doug Johnson, Eric Hurley: System and method for on-line training of a support vector machine. Pavilion Technologies, Meyertons Hood Kivlin Kowert & Goetzel P C, Jeffrey C Hood, May 30, 2006: US07054847 (37 worldwide citation)

A system and method for on-line training of a support vector machine (SVM). The SVM is trained with training sets from a stream of process data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are pr ...


3
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 (36 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 ...


4
Bruce Ferguson, Eric Hartman: Pre-processing input data with outlier values for a support vector machine. Pavilion Technologies, Meyertons Hood Kivlin Kowert & Goetzel P C, Jeffrey C Hood, September 6, 2005: US06941301 (35 worldwide citation)

A system and method for preprocessing input data to a support vector machine (SVM). The SVM is a system model having parameters that define the representation of the system being modeled, and operates in two modes: run-time and training. A data preprocessor preprocesses received data in accordance w ...


5
Bruce Ferguson, Eric Hartman: System and method for pre-processing input data to a support vector machine. Pavilion Technologies, Meyertons Hood Kivlin Kowert & Goetzel P C, Jeffrey C Hood, Mark S Williams, March 28, 2006: US07020642 (25 worldwide citation)

A system and method for preprocessing input data to a support vector machine (SVM). The SVM is a system model having parameters that define the representation of the system being modeled, and operates in two modes: run-time and training. A data preprocessor preprocesses received data in accordance w ...


6
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 (21 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 ...


7
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 (18 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 ...


8
Bijan Sayyar Rodsari, Edward Plumer, Eric Hartman, Kadir Liano, Celso Axelrud: Training a model of a non-linear process. Rockwell Automation Technologies, Fletcher Yoder, William R Walbrun, John M Miller, September 13, 2011: US08019701 (15 worldwide citation)

System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives proce ...


9
Eric Hartman, James Abbas, JoAnne Resig, John Alton, Mark Griffin, Nancy Quick: Lower extremity exercise device with stimulation and related methods. Customkynetics, King & Schickli PLLC, August 21, 2012: US08249714 (8 worldwide citation)

A device and methods for performing a closed-chain exercise for the lower extremities of a human subject and, in particular, the legs, using stimulation. The device may include a sled for receiving the subject and for translating to and fro between a first, lower position in which the legs are at le ...


10
Hsien cheng Wu, Flavio Nardi, Jin Jae Chen, Eric Hartman: Closed-loop control for trailer sway mitigation. Robert Bosch, Michael Best & Friedrich, June 3, 2014: US08740317 (1 worldwide citation)

A method, and a system using the method, of controlling a towing vehicle that is connected to a vehicle trailer. The method includes sensing a set of vehicle targets and a set of vehicle conditions in response to the set of vehicle targets. The method also includes determining a plurality of differe ...



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