LEARNING
Control Systems in Manufacturing
Mruthyunjaya S. Telagi, Athamaram H. Soni
- Year
- 1994
- Citations
- 3
Abstract
Abstract This paper reviews different control methodologies applied in manufacturing environment. Since comparatively newer control methodologies like — Neural networks, Fuzzy logic, and Cerebellar model articulation controller have gained more research interests in recent years, they have been dealt in more detail. With this, we have presented application of neural network for endeffector positioning of three degree planar robot and results have been evaluated. Finally the future research trends in these areas have been discussed.
Keywords
Cerebellar model articulation controllerArtificial neural networkComputer scienceFuzzy logicControl engineeringController (irrigation)Control (management)Fuzzy control systemControl systemArticulation (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