MANIPULATION
Adaptive ANN control of robot arm using structure of Lagrange equation
Masaki Yamakita, Takuya Satoh
- Year
- 1999
- Citations
- 6
Abstract
Several adaptive control algorithms for robot manipulators using artificial neural network (ANN) are considered and an algorithm using physical structure of robot manipulators is proposed. However, the structure of ANN should be modified according to the change of the degree of freedom of the system. In this paper, we propose the algorithm in which the structure of ANN is independent of the degree of freedom and compare it to some other algorithms by simulation and experiment.
Keywords
Artificial neural networkComputer scienceRobotic armRobotRobot manipulatorControl theory (sociology)Adaptive controlRobot controlArtificial intelligenceControl (management)
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002