Summary

International Symposium on Nonlinear Theory and Its Applications

2022

Session Number:A4L-E

Session:

Number:A4L-E-01

Predicting a Parameter Value at Which a Critical Transition Occurs from Lyapunov Exponents in an Estimated Parameter Space

Yoshitaka Itoh,  

pp.143-146

Publication Date:12/12/2022

Online ISSN:2188-5079

DOI:10.34385/proc.71.A4L-E-01

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Summary:
This study estimates a parameter space only from two time-series data sets in order to predict a critical transition caused by saddle-node bifurcation. We confirm that the Lyapunov exponents can be approximated in the estimated parameter space and corresponded to the bifurcation diagram. In numerical experiments, we estimate a parameter space for coupled dynamics of water and vegetation.