MANIPULATION
Adaptive Neuro-Fuzzy Inference System based control of robotic manipulators
Dipak M. Adhyaru, Jimit R. Patel, Rishi Gianchandani
- Year
- 2010
- Citations
- 11
Abstract
Robot manipulators have become increasingly important in the field of flexible automation. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.
Keywords
Adaptive neuro fuzzy inference systemControl engineeringTrajectoryComputer scienceRobot manipulatorFuzzy control systemController (irrigation)Adaptive controlAutomationControl theory (sociology)
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