Iterative inversion of neural networks and its application to adaptive control

Abstract

An iterative constrained inversion technique is used to find the control inputs to the plant. That is, rather than training a controller network and placing this network directly in the feedback or feedforward paths, the forward model of the plant is learned, and iterative inversion is performed on line to generate control commands. The control approach… (More)
DOI: 10.1109/72.125870

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