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Control of Flexible-link Manipulators Using Neural Networks, Paperback / softback Book

Control of Flexible-link Manipulators Using Neural Networks Paperback / softback

Part of the Lecture Notes in Control and Information Sciences series

Paperback / softback

Description

Control of Flexible-link Manipulators Using Neural Networks addresses the difficulties that arise in controlling the end-point of a manipulator that has a significant amount of structural flexibility in its links.

The non-minimum phase characteristic, coupling effects, nonlinearities, parameter variations and unmodeled dynamics in such a manipulator all contribute to these difficulties.

Control strategies that ignore these uncertainties and nonlinearities generally fail to provide satisfactory closed-loop performance.

This monograph develops and experimentally evaluates several intelligent (neural network based) control techniques to address the problem of controlling the end-point of flexible-link manipulators in the presence of all the aforementioned difficulties.

To highlight the main issues, a very flexible-link manipulator whose hub exhibits a considerable amount of friction is considered for the experimental work.

Four different neural network schemes are proposed and implemented on the experimental test-bed.

The neural networks are trained and employed as online controllers.

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