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Continuous-Time Surrogate Models for Data-Driven Dynamic Optimization
2022This work addresses the control optimization of time-varying systems without the full discretization of the underlying high-fidelity models and derives optimal control trajectories using surrogate modeling and data-driven optimization. Time-varying systems are ubiquitous in the chemical process industry and their systematic control is essential for ...
Burcu, Beykal +2 more
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A Dynamic Surrogate Model Technique for Power Systems Modeling and Simulation
SAE Technical Paper Series, 2008<div class="htmlview paragraph">Heterogeneous physical systems can often be considered as highly complex, consisting of a large number of subsystems and components, along with the associated interactions and hierarchies amongst them. The simulation of a large-scale, complex system can be computationally expensive and the dynamic interactions may ...
Michael Balchanos +3 more
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Surrogate Modelling of Range Shift Dynamics
Climate change is altering natural habitats, forcing animal populations to move towards more favourable environments. The movements underlying this expansion are dependent on landscape structure and composition and can be facilitated by the development of green infrastructure.Jean-Baptiste Page +4 more
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A Dynamic Sampling Method for Kriging and Cokriging Surrogate Models
49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 2011In this paper we describe our gradient and Hessian enhanced Kriging surrogate model with dynamic sample point selection. We demonstrate the quality of the surrogate by comparison with higher-dimensional analytic test functions. We also apply the surrogate model to uncertainty quantification and robust optimization problems using inexpensive Monte-Carlo
Markus Rumpfkeil +2 more
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Construction of Dynamic Multifidelity Locally Optimized Surrogate Models
AIAA Journal, 2017The conceptual design phase for the development of new and revolutionary aircraft should include both low- and high-fidelity multidisciplinary engineering analyses to enable reasonable computationa...
Markus P. Rumpfkeil, Philip Beran
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Applications of Reduced Order and Surrogate Modeling in Structural Dynamics
2019Despite recent advances in computational science, the adoption of computationally intensive, high-fidelity simulation models remains a challenge for many structural dynamics applications, especially those within the domain of uncertainty quantification (UQ), requiring repeated calls to a computationally intensive simulator.
Alexandros A. Taflanidis +2 more
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Surrogate Aerodynamics Modeling Applied to Surrogate Structural Dynamical Systems
2023openaire +1 more source
Architectures for Neural Networks as Surrogates for Dynamic Systems in Chemical Engineering
Chemical Engineering Research and Design, 2022Erik Esche +2 more
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