A topological framework for identifying phenomenological bifurcations in stochastic dynamical systems
Author:
Funder
Air Force Office of Scientific Research
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11071-024-09289-1.pdf
Reference54 articles.
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2. Annunziato, M., Borzì, A.: A Fokker–Planck control framework for multidimensional stochastic processes. J. Comput. Appl. Math. 237(1), 487–507 (2013). https://doi.org/10.1016/j.cam.2012.06.019
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4. Mamis, K.I., Athanassoulis, G.A.: Exact stationary solutions to Fokker–Planck–Kolmogorov equation for oscillators using a new splitting technique and a new class of stochastically equivalent systems. Probabil. Eng. Mech. 45, 22–30 (2016). https://doi.org/10.1016/j.probengmech.2016.02.003
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1. Correction to: A topological framework for identifying phenomenological bifurcations in stochastic dynamical systems;Nonlinear Dynamics;2024-04-02
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