Parameter identification of dynamical systems from time series

Details Parameter identification of dynamical systems from time series Parameter identification of dynamical systems from time series

Jun 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007phrve..75f7201y&link_type=abstract

Physical Review E, vol. 75, Issue 6, id. 067201

Nonlinear Sciences

Chaotic Dynamics

33

Time Series Analysis, Control Of Chaos, Applications Of Chaos, Chaotic Dynamics, Time Series Analysis, Time Variability

Scientific paper

In this paper, synchronization based parameter identification of dynamical systems from time series is carefully revisited. It is shown, based on rigorous theoretical analysis and concrete counterexamples, that some recent research reports on this issue are incomplete or even incorrect. A linear independence condition is pointed out, which is sufficient for such parameter identification of general dynamical systems.

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