LEARNING
Applications of contraction analysis
Winfried Lohmiller, J.-J.E. Slotine
- Year
- 2002
- Citations
- 10
Abstract
Recently, there has been considerable interest in analyzing feedback controllers for biological motor control systems as combinations of simpler elements, or motion primitives. Similarly, although its connection to biology is somewhat looser, research on "artificial neural networks" has also studied the use of basis functions (or, more generally, frames) in adaptive nonlinear control. Contraction analysis (Lohmiller and Slotine, 1996, 1997) may provide useful tools to analyze such systems, as this paper sketches. We also discuss related applications to the control of flexible robots.
Keywords
Computer scienceContraction (grammar)Nonlinear systemRobotArtificial neural networkAdaptive controlControl engineeringMotion controlControl systemArtificial intelligence
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