Use of synchronization and adaptive control in parameter estimation from a time series

Nonlinear Sciences – Chaotic Dynamics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Revised for simultaneous estimation of many parameters. 24 pages of RevTex, 12 figures in postscript files. To appear in PR(E)

Scientific paper

10.1103/PhysRevE.59.284

A technique is introduced for estimating unknown parameters when time series of only one variable from a multivariate nonlinear dynamical system is given. The technique employs a combination of two different control methods, a linear feedback for synchronizing system variables and an adaptive control. The technique is shown to work even when the unknown parameter appears in the evolution equations of the variables other than the one for which the time series is given. The technique not only esablishes that explicit detailed information about all system variables and parameters is contained in a scalar time series, but also gives a way to exract it out under suitable conditions. Illustrations are presented and effect of noise is studied.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Use of synchronization and adaptive control in parameter estimation from a time series does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Use of synchronization and adaptive control in parameter estimation from a time series, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Use of synchronization and adaptive control in parameter estimation from a time series will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-309349

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.