Active learning via human-in-the-loop optimization is used to tune fractional-order viscoelastic model parameters for high perceived realism in haptic rendering, with aggregation for population-level parameters.
A theoretical basis for the application of fractional calculus to viscoelasticity,
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A star-product reformulation of nonautonomous linear fractional DEs enables both closed-form solutions in special cases and a discretization scheme for numerical computation.
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Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering
Active learning via human-in-the-loop optimization is used to tune fractional-order viscoelastic model parameters for high perceived realism in haptic rendering, with aggregation for population-level parameters.
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A $\star$-Product Approach for Analytical and Numerical Solutions of Nonautonomous Linear Fractional Differential Equations
A star-product reformulation of nonautonomous linear fractional DEs enables both closed-form solutions in special cases and a discretization scheme for numerical computation.