Adaptively locating unknown steady states: Formalism and basin of attraction |
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Authors: | Yu WuWei Lin |
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Affiliation: | a School of Mathematical Sciences, Centre for Computational Systems Biology, and Shanghai Key Laboratory for Contemporary Applied Mathematics, Fudan University, Shanghai 200433, China b CAS-MPG Partner Institute for Computational Biology, Shanghai 200031, China |
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Abstract: | ![]() The adaptive technique, which includes both dynamical estimators and coupling gains, has been recently verified to be practical for locating the unknown steady states numerically. This Letter, in the light of the center manifold theory for dynamical systems and the matrix spectrum principle, establishes an analytical formalism of this adaptive technique and reveals a connection between this technique and the original adaptive controller which includes only the dynamical estimator. More interestingly, in study of the well-known Lorenz system, the selections of the estimator parameters and initial values are found to be crucial to the successful application of the adaptive technique. Some Milnor-like basins of attraction with fractal structures are found quantitatively. All the results obtained in the Letter can be further extended to more general dynamical systems of higher dimensions. |
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Keywords: | Adaptive stabilization Chaos control Unknown steady states Center manifold Basin of attraction Fractal dimension |
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