Artificial Neural Network Feedback Loop On-Line Trainer

Information

• NSF Award
• 9361524

Owner

• ORINCON Corporation

• Award Id

  9361524

• Award Effective Date

  1/1/1994 - 30 years ago

• Award Expiration Date

  12/31/1994 - 29 years ago

• Award Amount

  $ 74,935.00

• Award Instrument

  Standard Grant

9361524 Stubberud The artificial neural network (ANN) has been used with varying degrees of success in the feed back loop to provide the necessary control for nonlinear or uncertain systems. Recently, research has been done to train a neuro-controller, as well as a neuro-observer, using a relatively new extended Kalman filter (EKF) training paradigm. However, both functions have not been implemented with ANNs, which train on-line. ORINCON will investigate the capability of implementing a neuro-controller and neuro-observer on-line using the EKF paradigm. All systems encounter parameter variations over time from their nominal design that the control must adapt to or be robust enough to handle. This research will allow the entire feedback loop to be adjusted for parameter changes. ***

• Program Officer

  Ritchie B. Coryell

• Min Amd Letter Date

  12/27/1993 - 30 years ago

• Max Amd Letter Date

  11/7/1994 - 29 years ago

• ARRA Amount

• Name

  ORINCON Corporation

• City

  San Diego

• State

  CA

• Country

  United States

• Address

  9363 Towne Centre Drive

• Postal Code

  921213017

• Phone Number

  6194555530

• First Name

  Stephen

• Last Name

  Stubberud

• Email Address

  stubberu@orincon.com

• Start Date

  1/1/1994 12:00:00 AM

• Name

  Engineering & Computer Science

• Code

  510403