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Control of Flexible-link Manipulators Using Neural Networks
Talebi, Heidar A.; Patel, R.V.; Khorasani, K.
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Description for Control of Flexible-link Manipulators Using Neural Networks
Paperback. Addresses the difficulties that arise in controlling the end-point of a manipulator that has a significant amount of structural flexibility in its links. This book develops and experimentally evaluates several intelligent (neural network based) control techniques to address the problem of controlling the end-point of flexible-link manipulators. Series: Lecture Notes in Control and Information Sciences. Num Pages: 168 pages, biography. BIC Classification: TJFM; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 9. Weight in Grams: 245.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2001
Publisher
Springer London Ltd United Kingdom
Number of pages
168
Condition
New
Series
Lecture Notes in Control and Information Sciences
Number of Pages
150
Place of Publication
England, United Kingdom
ISBN
9781852334093
SKU
V9781852334093
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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