Articles with public access mandates - Philippe BisaillonLearn more
Not available anywhere: 1
Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems
P Bisaillon, R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Nonlinear Dynamics 82, 1061-1080, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada
Available somewhere: 11
Development and implementation of control-oriented models for terminal heating and cooling units
HB Gunay, W O'Brien, I Beausoleil-Morrison, P Bisaillon, Z Shi
Energy and Buildings 121, 78-91, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Combined selection of the dynamic model and modeling error in nonlinear aeroelastic systems using Bayesian Inference
P Bisaillon, R Sandhu, C Pettit, M Khalil, D Poirel, CS Manohar, A Sarkar
Journal of Sound and Vibration 522, 116418, 2022
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
Nonlinear sparse Bayesian learning using EnKF based state estimator.
B Robinson, P Bisaillon, R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
A parallel update step of a sampling-free EnKF-type% 0Clter.
P Bisaillon, A Desai, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
Calibrating optimal modeling error in nonlinear dynamics.
P Bisaillon, R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2021
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
Selection of optimal physics-based model and modeling error for a nonlinear fluid-structure interaction system.
P Bisaillon, R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
Bayesian Selection of Optimal Physics-Based Model and Modeling Error for Nonlinear Dynamical Systems.
P Bisaillon, R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
A Scalable Sampling-Free Nonlinear State Estimation Algorithm for Large-Scale Models and Data Sets using High Performance Computing.
A Desai, P Bisaillon, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
Colored Process Noise in Nonlinear Aeroelastic Systems.
P Bisaillon, R Sandhu, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
An integrated approach for fluid-structure interaction: uncertainty quantifi% 0Ccation Bayesian inference scalable algorithms for high performance computing and wind tunnel …
R Sandhu, LJ Rocha da Costa, B Robinson, A Matachniouk, S Chajjed, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.
P Bisaillon, A Desai, M Khalil, C Pettit, D Poirel, A Sarkar
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016
Mandates: US Department of Energy, Natural Sciences and Engineering Research Council …
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