Neural network and fuzzy control techniques for robotic systems

Kazuo Kiguchi, Keigo Watanabe, Toshio Fukuda

研究成果: Chapter in Book/Report/Conference proceedingChapter

抄録

In this chapter, advanced neural network and fuzzy control techniques for robotic systems such as robot manipulators are introduced. Position/force control is one of the most important and fundamental operations of robot manipulators to perform sophisticated tasks. It is known that neural network and fuzzy control techniques are very effective for position/force control, especially in an unknown/uncertain environment. By applying these soft computing techniques, undesired overshooting and oscillation caused by the unknown/uncertain dynamics of a robot manipulator and an object/environment can be decreased efficiently and precise position/force control can be realized.

本文言語英語
ホスト出版物のタイトルIntelligent Systems
ホスト出版物のサブタイトルTechnology and Applications, Six Volume Set
出版社CRC Press
ページII-73-II-95
ISBN(電子版)9781420040814
ISBN(印刷版)0849311217, 9780849311215
出版ステータス出版済み - 1 1 2002
外部発表はい

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science(all)

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