Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2004-05-18
A slightly modified version published in Physical Review E67, 027204, 2003
Nonlinear Sciences
Chaotic Dynamics
13 pages, 4 figures
Scientific paper
The problem of dynamic estimation of all parameters of a model representing chaotic and hyperchaotic systems using information from a scalar measured output is solved. The variational calculus based method is robust in the presence of noise, enables online estimation of the parameters and is also able to rapidly track changes in operating parameters of the experimental system. The method is demonstrated using the Lorenz, Rossler chaos and hyperchaos models. Its possible application in decoding communications using chaos is discussed.
No associations
LandOfFree
Synchronization Based Approach for Estimating All Model Parameters of Chaotic Systems 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 Synchronization Based Approach for Estimating All Model Parameters of Chaotic Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Synchronization Based Approach for Estimating All Model Parameters of Chaotic Systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-366544