Control of Flexible-link Manipulators Using Neural Networks

• Main Authors: Talebi, H.A (Author, http://id.loc.gov/vocabulary/relators/aut), Patel, R.V (http://id.loc.gov/vocabulary/relators/aut), Khorasani, K. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2001.
• Edition: 1st ed. 2001.
• Series: Lecture Notes in Control and Information Sciences, 261
• Subjects: Control engineering.; Robotics.; Mechatronics.; Control, Robotics, Mechatronics.

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 vari...

Table of Contents:

• Manipulator model
• Output redefinition
• Proposed neural network structures
• Experimental results.