Approximate dynamic programming based control of proppant concentration in hydraulic fracturing

DOI10.3390/MATH6080132zbMath1405.93217OpenAlexW2887738662WikidataQ129478708 ScholiaQ129478708MaRDI QIDQ1634393

Prashanth Siddhamshetty, Harwinder Singh Sidhu, Joseph S. Kwon

Publication date: 18 December 2018

Published in: Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/math6080132

zbMATH Keywords

Kalman filtermodel reductionmodel predictive control (MPC)hydraulic fracturingapproximate dynamic programming (ADP)

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10) Dynamic programming (90C39) System structure simplification (93B11) Large-scale systems (93A15) Geological problems (86A60)

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Cites Work

• Unnamed Item
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• Control of systems integrating logic, dynamics, and constraints
• Constrained model predictive control: Stability and optimality
• An approximate dynamic programming based approach to dual adaptive control
• Simulation based strategy for nonlinear optimal control: application to a microbial cell reactor

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