In mathematical modeling it is often required the analysis of the vector field topology in order to predict the evolution of the variables involved. When a dynamical system is multi-stable the trajectories approach different stable states, depending on the initialmconditions. The aim of this work is the detection of the invariant manifolds of thesaddle points to analyze the boundaries of the basins of attraction. Once that a sufficient number of separatrix points is found a Moving Least Squares meshfree method is involved to reconstruct the separatrix manifolds. Numerical results are presented to assess the method referring to tri-stable models with complex attractors such as limit cycles or limit tori.
Francomano Elisa, Paliaga Marta (2018). Detecting tri-stability of 3D models with complex attractors via meshfree reconstruction of invariant manifolds of saddle points. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 41(17), 7450-7458 [10.1002/mma.4889].
Detecting tri-stability of 3D models with complex attractors via meshfree reconstruction of invariant manifolds of saddle points
Francomano Elisa
;Paliaga Marta
2018-01-01
Abstract
In mathematical modeling it is often required the analysis of the vector field topology in order to predict the evolution of the variables involved. When a dynamical system is multi-stable the trajectories approach different stable states, depending on the initialmconditions. The aim of this work is the detection of the invariant manifolds of thesaddle points to analyze the boundaries of the basins of attraction. Once that a sufficient number of separatrix points is found a Moving Least Squares meshfree method is involved to reconstruct the separatrix manifolds. Numerical results are presented to assess the method referring to tri-stable models with complex attractors such as limit cycles or limit tori.File | Dimensione | Formato | |
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