Signal generator for modelling dynamical system behavior

Data processing: artificial intelligence – Neural network – Structure

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706 10, 706 15, G06F 1518

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057907579

ABSTRACT:
A signal generator implements a dynamic behaviour described by differential equations specifying a predetermined functional relationship. The generator includes a mapping section for mapping inputs onto outputs according to a mathematical correspondence, differentiators at selective ones of the inputs for providing time-derivatives, and a feedback path for selectively coupling outputs to inputs, either directly or via the differentiators. The feedback path and differentiating means constrain the mapping and establish aforesaid relationship.

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Levin, A. U., and Narendra, K. S., "Control of Nonlinear Dynamical Systems Using Neural Networks: Controllability and Stabilization", IEEE Transactions On Neural Networks, vol. 4, No. 2, pp. 192-206, Mar. 1993.
Narendra, K.S. and Parthasarathy, K., "Identification and Control of Dynamical Systems Using Neural Networks", IEEE Transactions on Neural Networks, vol. 1, No. 1, pp. 4-27, Mar. 1990.
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