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Brandon Corbett
Observed name:
Corbett, Brandon
Observed institutions:
Ford Motor Company (Canada),
ProSensus (Canada),
McMaster University
ORCID:
0000-0001-5360-9811
Observed ORCID:
0000-0001-5360-9811
OpenAlex ID:
A5010867791
Injectable Anisotropic Nanocomposite Hydrogels Direct in Situ Growth and Alignment of Myotubes
2017
·
Kevin J. De France
, Kevin G. Yager
, et al.
·
Nano Letters
·
129
Subspace identification for data‐driven modeling and quality control of batch processes
2016
·
Brandon Corbett
, Prashant Mhaskar
·
AIChE Journal
·
105
Data‐driven model predictive quality control of batch processes
2013
·
Siam Aumi
, Brandon Corbett
, et al.
·
AIChE Journal
·
56
Integrating dynamic neural network models with principal component analysis for adaptive model predictive control
2020
·
Hesam Hassanpour
, Brandon Corbett
, et al.
·
Process Safety and Environmental Protection
·
50
High-Throughput Synthesis, Analysis, and Optimization of Injectable Hydrogels for Protein Delivery
2019
·
Fei Xu
, Brandon Corbett
, et al.
·
Biomacromolecules
·
44
Data-Based Modeling and Control of Nylon-6, 6 Batch Polymerization
2012
·
Siam Aumi
, Brandon Corbett
, et al.
·
IEEE Transactions on Control Systems Technology
·
34
Artificial Neural Network-Based Model Predictive Control Using Correlated Data
2022
·
Hesam Hassanpour
, Brandon Corbett
, et al.
·
Industrial & Engineering Chemistry Research
·
33
Subspace model identification and model predictive control based cost analysis of a semicontinuous distillation process
2017
·
Vida Meidanshahi
, Brandon Corbett
, et al.
·
Computers & Chemical Engineering
·
33
PDF
Physics-Informed Neural Networks for Process Systems: Handling Plant-Model Mismatch
2024
·
Farshad Moayedi
, Aswin Chandrasekar
, et al.
·
Industrial & Engineering Chemistry Research
·
32
A practically implementable reinforcement learning‐based process controller design
2023
·
Hesam Hassanpour
, Xiaonian Wang
, et al.
·
AIChE Journal
·
29
Data-Driven Modeling and Quality Control of Variable Duration Batch Processes with Discrete Inputs
2017
·
Brandon Corbett
, Prashant Mhaskar
·
Industrial & Engineering Chemistry Research
·
28
Narrowly Dispersed, Degradable, and Scalable Poly(oligoethylene glycol methacrylate)-Based Nanogels via Thermal Self-Assembly
2018
·
Madeline J. Simpson
, Brandon Corbett
, et al.
·
Industrial & Engineering Chemistry Research
·
26
Model Predictive Quality Control of Polymethyl Methacrylate
2014
·
Brandon Corbett
, Brian Macdonald
, et al.
·
IEEE Transactions on Control Systems Technology
·
24
A practically implementable reinforcement learning control approach by leveraging offset-free model predictive control
2023
·
Hesam Hassanpour
, Prashant Mhaskar
, et al.
·
Computers & Chemical Engineering
·
23
Supply Chain Monitoring Using Principal Component Analysis
2020
·
Jing Wang
, Christopher L. E. Swartz
, et al.
·
Industrial & Engineering Chemistry Research
·
23
Model predictive control using subspace model identification
2021
·
Nikesh Patel
, Brandon Corbett
, et al.
·
Computers & Chemical Engineering
·
22
Modeling and Control of Batch Processes
2018
·
Prashant Mhaskar
, Abhinav Garg
, et al.
·
Advances in industrial control
·
22
Model-based intensification of CHO cell cultures: One-step strategy from fed-batch to perfusion
2022
·
Anne Richelle
, Brandon Corbett
, et al.
·
Frontiers in Bioengineering and Biotechnology
·
21
Subspace-based model identification of a hydrogen plant startup dynamics
2017
·
Abhinav Garg
, Brandon Corbett
, et al.
·
Computers & Chemical Engineering
·
19
Process‐aware data‐driven modelling and model predictive control of bioreactor for the production of monoclonal antibodies
2022
·
Samardeep Sarna
, Nikesh Patel
, et al.
·
The Canadian Journal of Chemical Engineering
·
17
Artificial neural network based model predictive control: Implementing achievable set‐points
2021
·
Hesam Hassanpour
, Brandon Corbett
, et al.
·
AIChE Journal
·
11
Modeling and Optimization of Protein PEGylation
2016
·
Shang Xiaojiao
, Brandon Corbett
, et al.
·
Industrial & Engineering Chemistry Research
·
11
Numerical simulation of the general rate model of chromatography using orthogonal collocation
2022
·
David Andersson
, Rickard Sjögren
, et al.
·
Computers & Chemical Engineering
·
9
Subspace based model identification for missing data
2020
·
Nikesh Patel
, Prashant Mhaskar
, et al.
·
AIChE Journal
·
9
Integrating autoencoder with Koopman operator to design a linear data‐driven model predictive controller
2024
·
Xiaonian Wang
, Sheel Ayachi
, et al.
·
The Canadian Journal of Chemical Engineering
·
8
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Works count:
66
Citation count:
901
H-index:
19
I10-index:
22
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