PD기반의 퍼지제어기로 제어된 로봇의 새로운 신경회로망 보상 제어 기술

목차 (Table of Contents)

• Abstract
• Ⅰ. 서론
• Ⅱ. 로봇 동력학
• Ⅲ. PD 형태의 퍼지 제어
• Ⅳ. 퍼지 제어시스템을 위한 신경망 보상기
• Ⅴ. 시뮬레이션 결과
• Ⅵ. 결론
• 참고문헌

참고문헌 (Reference)

1 J. S. Wang, "Self-adaptive recurrent neuro-fuzzy control of an autonomous underwater vehicle" 19 : 283-295, 2003.

2 A. J, "Real time neuro-fuzzy control of a nonlinear dynamic system" 210-214, 1996.

3 S. Pletl, "Neuro-fuzzy control of rigid and flexible joint robotic manipulator" 93-97, 1995.

4 L. Peng, "Neural-fuzzy control system for robotic manipulators" 22 : 53-63, 2002.

5 S. Jung, "Neural network inverse control techniques for PD controlled robot manipulator" ROBOTICA 19 : 305-314, 2002.

6 T. H. Lee, "Intelligent control of mechatronic systems" 646-659, 2003.

7 M. E. Magana, "Fuzzy-logic control of an inverted pendulum with vision feedback" 41 : 165-170, 1998.

8 W. Wei, "Fuzzy and neural network control system of intelligent RLED arm manipulators for dynamic obstacles" 577-580, 2001.

9 M. Miyamoto, "Feedback error learning" 1 : 251-265, 1988.

10 S. Jung, "Decentralized neural network reference compensation technique for PD controlled two degrees of freedom inverted pendulum" 2 : 92-99, 2004.

11 D. Driankov, "An introduction to fuzzy control" Springer 1996.

12 L. X. Wang, "Adaptive fuzzy systems and controlAdaptive fuzzy systems and control" Prentice Hall 1994.

13 T. H. Hung, "A PI-like fuzzy controller implementation for the inverted pendulum system IEEE Conference on Intelligent Processing Systems" 218-222, 1997.