@ARTICLE{Kloepper2012,
  author = {Kl{\"o}pper, Benjamin AND Sondermann-W{\"o}lke, Christoph AND Romaus,
	Christoph},
  title = {Probabilistic Planning for Predictive Condition Monitoring and Adaptation
	Within the Self-Optimizing Energy Management of an Autonomous Railway
	Vehicle},
  journal = {Journal of Robotics and Mechatronics},
  year = {2012},
  volume = {24},
  pages = {5-15},
  number = {1},
  month = {Feb.},
  abstract = {Self-optimizing mechatronic systems are a new class of technical systems.
	On the one hand, new challenges regarding dependability arise from
	their additional complexity and adaptivity. On the other hand, their
	abilities enable new concepts and methods to improve the dependability
	of mechatronic systems. This paper introduces a multi-level dependability
	concept for selfoptimizing mechatronic systems and shows how probabilistic
	planning can be used to improve the availability and reliability
	of systems in the operating phase. The general idea to improve the
	availability of autonomous systems by applying probabilistic planning
	methods to avoid energy shortages is exemplified on the example of
	an innovative railway vehicle.},
  bdsk-url-1 = {http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=ROBOT002400010001.xml},
  file = {Kloepper2012.pdf:Kloepper2012.pdf:PDF},
  keywords = {self-optimizing systems, dependability, probabilistic planning, energy
	management},
  timestamp = {2013.09.18},
  url = {http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=ROBOT002400010001.xml}
}