Neural network design with genetic learning for control of a single link flexible manipulator-Reference-Cited by-同舟云学术

Neural network design with genetic learning for control of a single link flexible manipulator

Published:1996-02 Issue:2 Volume:15 Page:135-151
ISSN:0921-0296
Container-title:Journal of Intelligent and Robotic Systems
language:en
Short-container-title:Journal of Intelligent and Robotic Systems

Author:

Jain Sandeep,Peng Pei-Yuan,Tzes Anthony,Khorrami Farshad

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/BF00125490.pdf

Reference36 articles.

1. Cannon, R. H. and Schmitz, E.: Initial experiments on the end-point control of a flexible one-like robot, Int. J. Robotics Res. 3(3) (1984), 62?75.

2. Khorrami, F. and Jain, S.: Nonlinear control with end-point acceleration feedback for a two-link flexible manipulator: Experimental results, J. Robotic Syst. 10 (1993), 505?530.

3. Khorrami, F., Jain, S., and Tzes, A.: Experiments on rigid-body based controllers with input preshaping for a two-link flexible manipulator, IEEE Trans. Robotics and Automation 10 (1994).

4. Khorrami, F., Jain, S., and Tzes, A.: Experimental results on adaptive nonlinear control with input preshaping for flexible-link manipulators, Automatica (1994), to appear.

5. Tzes, A. and Yurkovich, S.: An adaptive input shaping control scheme for vibration suppression in slewing flexible structures, IEEE Trans. Contr. Syst. Technology 1 (1993), 114?121.

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