@article{38226,
  keywords = {pattern-formation, chaos},
  author = {Anderson and Shvartsman and Flatgen and Kevrekidis and Rico-Martinez and KRISCHER},
  title = {Adaptive method for the experimental detection of instabilities},
  abstract = { Motivated by numerical bifurcation detection, we present a methodology for the direct location of bifurcation points in nonlinear dynamic laboratory experiments. The procedure involves active, adaptive use of the bifurcation parameter(s) as control variable(s), coupled with the on-line identification of low-order nonlinear dynamic models from experimental time-series data. Application of the procedure to such "hard" transitions as saddle-node and subcritical Hopf bifurcations is demonstrated through simulated experiments of lumped as well as spatially distributed systems. [S0031-9007(98)08206-4]. },
  year = {1999},
  journal = {Physical Review LettersPhysical Review Letters},
  volume = {82},
  pages = {532-535},
  month = {01/1999},
  isbn = {0031-9007},
  language = {English},
}