Journal ArticleOpen Access
Parameter identification of dynamical systems from time series
Authors
Author Affiliations
Southeast University, City University of Hong Kong, Princeton University, Academy of Mathematics and Systems Science, ...
Published InPhysical Review E
Year2007
Citations123
Abstract
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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