A unified and automated approach to attractor reconstruction. (15th March 2021)

• Record Type: Journal Article
• Authors: Kraemer, K H; Datseris, G; Kurths, J; Kiss, I Z; Ocampo-Espindola, J L; Marwan, N
• Is Part Of: New journal of physics. Volume 23:Number 3(2021)
• Publication Date: 2021-03-15
• Subjects: nonlinear dynamics -- complex systems -- embedding -- state space reconstruction; Physics -- Periodicals; Physics; Periodicals; 530.05
• DOI: 10.1088/1367-2630/abe336
• Languages: English
• ISSNs: 1367-2630

Abstract

Abstract: We present a fully automated method for the optimal state space reconstruction from univariate and multivariate time series. The proposed methodology generalizes the time delay embedding procedure by unifying two promising ideas in a symbiotic fashion. Using non-uniform delays allows the successful reconstruction of systems inheriting different time scales. In contrast to the established methods, the minimization of an appropriate cost function determines the embedding dimension without using a threshold parameter. Moreover, the method is capable of detecting stochastic time series and, thus, can handle noise contaminated input without adjusting parameters. The superiority of the proposed method is shown on some paradigmatic models and experimental data from chaotic chemical oscillators.