Data processing: artificial intelligence – Neural network
Reexamination Certificate
2003-08-28
2008-11-04
Hirl, Joseph P (Department: 2129)
Data processing: artificial intelligence
Neural network
C706S019000, C706S906000
Reexamination Certificate
active
07447664
ABSTRACT:
A method, a computer-readable medium, and a system for tuning a cost function to control an operational plant are provided. A plurality of cost function parameters is selected. Predicted future states generated by the neural network model are selectively incorporated into the cost function, and an input weight is applied to a control input signal. A series of known signals are iteratively applied as control input inputs, and the cost output is calculated. A phase is taken of the control and plant outputs in response to each of the known signals and combined, thereby allowing effective combinations of the cost function parameters, the input weight, and the predicted future states to be identified.
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