MANIPULATION
Global adaptive output feedback tracking control of robot manipulators
F. Zhang, D.M. Dawson, Marcio de Queiroz, Warren E. Dixon
- 发表年份
- 2002
- 引用次数
- 31
摘要
This paper presents a solution to the problem of global, output feedback tracking control of uncertain robot manipulators. Specifically, a desired compensation adaptation law plus a nonlinear feedback term coupled to a dynamic nonlinear filter is designed to produce global asymptotic link position tracking errors while compensating for parametric uncertainty and requiring only link position measurements. Simulation results are provided to illustrate the controller performance.
关键词
Control theory (sociology)Parametric statisticsCompensation (psychology)Nonlinear systemTracking (education)Computer sciencePosition (finance)Controller (irrigation)RobotAdaptive control
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002