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Authors Tao C, Zhang Y, Jiang JJ
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Journal Phys Rev E Stat Nonlin Soft Matter Phys Volume: 76 Issue: 1 Pt 2 Pages: 016209
Publish Date 2007 Jul
PubMed ID 17677545

A method is proposed to estimate system parameters by optimizing synchronization with a genetic algorithm. This method can effectively find the parameter values of a chaotic system with a rugged parameter landscape. Furthermore, even the parameters of a 200-dimensional coupled-map-lattice spatiotemporal chaotic system can be extracted from a scalar time series. Finally, a Chua’s circuit experiment shows the capacity of this method to estimate multiple parameters of real systems. Copyright © 2017 The Board of Regents of the University of Wisconsin System