Search Results - "Barton, D.A.W."

Robust identification of backbone curves using control-based continuation by Renson, L., Gonzalez-Buelga, A., Barton, D.A.W., Neild, S.A.

“…Control-based continuation is a recently developed approach for testing nonlinear dynamic systems in a controlled manner and exploring their dynamic features…”
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Reinforcement learning and approximate Bayesian computation for model selection and parameter calibration applied to a nonlinear dynamical system by Ritto, T.G., Beregi, S., Barton, D.A.W.

“…In the context of digital twins and integration of physics-based models with machine learning tools, this paper proposes a new methodology for model selection…”
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Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning by Lee, K.H., Barton, D.A.W., Renson, L.

“…We propose a new hybrid modelling approach that combines a mechanistic model with a machine-learnt model to predict the limit cycle oscillations of physical…”
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Reinforcement learning and approximate Bayesian computation (RL-ABC) for model selection and parameter calibration of time-varying systems by Ritto, T.G., Beregi, S., Barton, D.A.W.

“…This paper extends the recently developed methodology for model selection and parameter identification called RL-ABC (Ritto et al., 2022) (reinforced learning…”
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Application of control-based continuation to a nonlinear structure with harmonically coupled modes by Renson, L., Shaw, A.D., Barton, D.A.W., Neild, S.A.

“…•First demonstration of control-based continuation on a MDOF nonlinear system.•Systematic experimental characterisation of nonlinear dynamic features,…”
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Leadership emergence in a data-driven model of zebrafish shoals with speed modulation by Zienkiewicz, A., Barton, D.A.W., Porfiri, M., Di Bernardo, M.

“…Models of collective animal motion can greatly aid in the design and interpretation of behavioural experiments that seek to unravel, isolate, and manipulate…”
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