| 1 |
Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation
Narasingam A, Sang-Il Kwon J
Journal of Process Control, 91, 25, 2020 |
| 2 |
Machine learning-based adaptive model identification of systems: Application to a chemical process
Bhadriraju B, Narasingam A, Kwon JSI
Chemical Engineering Research & Design, 152, 372, 2019 |
| 3 |
Enlarging the Domain of Attraction of the Local Dynamic Mode Decomposition with Control Technique: Application to Hydraulic Fracturing
Bangi MSF, Narasingam A, Siddhamshetty P, Sang-Il Kwon J
Industrial & Engineering Chemistry Research, 58(14), 5588, 2019 |
| 4 |
Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition: Application to hydraulic fracturing
Sidhu HS, Narasingam A, Siddhamshetty P, Kwon JSI
Computers & Chemical Engineering, 112, 92, 2018 |
| 5 |
Data-driven identification of interpretable reduced-order models using sparse regression
Narasingam A, Sang-Il Kwon J
Computers & Chemical Engineering, 119, 101, 2018 |
| 6 |
Handling Spatial Heterogeneity in Reservoir Parameters Using Proper Orthogonal Decomposition Based Ensemble Kalman Filter for Model-Based Feedback Control of Hydraulic Fracturing
Narasingam A, Siddhamshetty P, Kwon JSI
Industrial & Engineering Chemistry Research, 57(11), 3977, 2018 |
| 7 |
Temporal Clustering for Order Reduction of Nonlinear Parabolic PDE Systems with Time-Dependent Spatial Domains: Application to a Hydraulic Fracturing Process
Narasingam A, Siddhamshetty P, Kwon JSI
AIChE Journal, 63(9), 3818, 2017 |
| 8 |
Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing
Narasingam A, Kwon JSI
Computers & Chemical Engineering, 106, 501, 2017 |
