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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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Dynamic Surrogate Reservoir Model with well constraints
2016 3rd International Conference on Computer and Information Sciences (ICCOINS), 2016Reservoir flow calculation is a significant aspect in oil and gas industries to calculate the results of a reservoir. Due to the large number of grid blocks and heterogeneity in reservoir models, extensive simulations are required to reduce the risk in reservoir's productivity.
Paras Q. Memon +2 more
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Dynamic structure response using surrogate models
2019Environmental vibrations are a well-known problem that can cause annoyance and even have negative health effects to the exposed population. Using surrogate models for the estimation of vibrations is an attractive alternative to costly numerical modelling or on-site measurements.
Bucinskas, Paulius +1 more
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Surrogate models of complex dynamic systems from energy distributions
The Journal of the Acoustical Society of America, 2022Engineers who design complex dynamic systems do not have the luxury of iteration. Numerical analysis of a single design, typically by finite element analysis, requires enormous amounts of CPU time. Therefore, improving a design by trying out many design modifications is impossible.
James G. McDaniel, Allison Kaminski
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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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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 for Efficient Discovery of Emergent Population Dynamics
2019 International Conference on High Performance Computing & Simulation (HPCS), 2019Outcomes of simulating complex systems models, such as emergent properties and desirable system level behaviours, can be discovered via heuristic techniques such as Genetic Algorithms (GAs). Using simulation as the cost function evaluation for a GA (i.e. simulation guided search) is computationally expensive.
James Pyle +2 more
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Autoregressive surrogate modeling for dynamical systems
Numerical simulations are essential tools for predicting the behavior of real-world systems. They support the design of robust and cost-efficient civil structures and therefore contribute to public safety. In practical applications, one must often account for uncertainty in the simulator inputs (e.g. material properties, geometry, or loading conditions)openaire +2 more sources