Data processing: generic control systems or specific application – Generic control system – apparatus or process – Optimization or adaptive control
Reexamination Certificate
2007-01-04
2008-08-19
Hartman, Jr., Ronald D (Department: 2121)
Data processing: generic control systems or specific application
Generic control system, apparatus or process
Optimization or adaptive control
C700S044000, C700S045000, C700S048000, C700S054000, C706S023000
Reexamination Certificate
active
07415311
ABSTRACT:
A computer system for controlling a nonlinear physical process. The computer system comprises a linear controller and a neural network. The linear controller receives a command signal for control of the nonlinear physical process and a measured output signal from the output of the nonlinear physical process. The linear controller generates a control signal based on the command signal, a measured output signal, and a fixed linear model for the process. The neural network receives the control signal from the linear controller and the measured output signal from the output of the nonlinear physical process. The neural network uses the measured output signal to modify the connection weights of the neural network. The neural network also generates a modified control signal supplied to the linear controller to iterate a fixed point solution for the modified control signal used to control the nonlinear physical process.
REFERENCES:
patent: 5121467 (1992-06-01), Skeirik
Real-Time Nonlinear Flight Control Using Neural Networks and Feedback Linearization, Report No. GST-93-1, Guided Systems Technologies, 1993 (naming A.J. Calise, M. Kam, P.K.A Menon, B.S. Kim, E.V. Byrns Jr. and J.E. Corban).
“Nonlinear Flight Control Using Neural Networks and Feedback Linearization,” IEEE Regional Conference on Aerospace Control Systems, Thousand Oaks, CA, May 1993 (naming A.J. Calise, M. Kam and B.S. Kim).
“The Application of Neural Networks to Flight Control”, written by James Allen Hinnant, M.S., Texas A&I University, 1992, 154 pages; Publication No. AAT 1347821.
“Nonlinear Flight Control Using Neural Networks”, which was first presented at the AIAA Guidance, Navigation and Control Conference, in Paper # 94-3646, at the proceedings dated Aug. 1-3, 1994.
“Neural Networks for Stable Adaptive Control of Air-to-Air Missiles”, Publication No. GNC-95.
“Helicopter Adaptive Flight Control Using Neural Networks”, Publication No. FM—7 2:50.
“Robustness Analysis For a Neural Network Based Adaptive Control Scheme”, Publication No. TM7—2:35.
The Application of Neural Networks to Flight Control; James Alan Hinnant; Texas A&I University, 1992; 158 pages.
Real-Time Nonlinear Flight Control Using Neural Network's and Feedback Linearization; GST-93-1; Mar. 1993; Calise et al.; 10 pages.
Nonlinear Flight Control Using Neural Network's and Feedback Linearization; Kim et al.; 6 pages.
Calise Anthony J.
Corban J. Eric
Kim Byoung-Soo
Guided Systems Technologies, Inc.
Hartman Jr. Ronald D
Juffernbruch Daniel W.
Patents and Licensing LLC
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