An intelligent control system for remotely operated vehicles
Abstract
The application of a neural network controller to remotely operated vehicles (ROVs) is described. Three learning algorithms for online implementation of a neural net controller are discussed with a critic equation. These control schemes do not require any information about the system dynamics except an estimate of the inertia terms. Selection of the number of layers in the neural network, the number of neurons in the hidden layer, initial...
Paper Details
Title
An intelligent control system for remotely operated vehicles
Published Date
Jan 1, 1993
Volume
18
Issue
1
Pages
55 - 62
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