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bSTAB: an open-source software for computing the basin stability of multi-stable dynamical systems

M. Stender, Norbert Hoffmann

2021Nonlinear Dynamics42 citationsDOIOpen Access PDF

Abstract

Abstract The pervasiveness of multi-stability in nonlinear dynamical systems calls for novel concepts of stability and a consistent quantification of long-term behavior. The basin stability is a global stability metric that builds on estimating the basin of attraction volumes by Monte Carlo sampling. The computation involves extensive numerical time integrations, attractor characterization, and clustering of trajectories. We introduce , an open-source software project that aims at enabling researchers to efficiently compute the basin stability of their dynamical systems with minimal efforts and in a highly automated manner. The source code, available at https://github.com/TUHH-DYN/bSTAB/ , is available for the programming language featuring parallelization for distributed computing, automated sensitivity and bifurcation analysis as well as plotting functionalities. We illustrate the versatility and robustness of for four canonical dynamical systems from several fields of nonlinear dynamics featuring periodic and chaotic dynamics, complicated multi-stability, non-smooth dynamics, and fractal basins of attraction. The projects aims at fostering interdisciplinary scientific collaborations in the field of nonlinear dynamics and is driven by the interaction and contribution of the community to the software package.

Topics & Concepts

AttractorComputer scienceDynamical systems theoryNonlinear systemStability (learning theory)SoftwareRobustness (evolution)BifurcationComplex dynamicsComputational scienceTheoretical computer scienceMathematicsPhysicsProgramming languageMachine learningMathematical analysisGeneChemistryQuantum mechanicsBiochemistryEcosystem dynamics and resilienceNonlinear Dynamics and Pattern FormationComplex Systems and Time Series Analysis
bSTAB: an open-source software for computing the basin stability of multi-stable dynamical systems | Litcius