| Injectable anisotropic nanocomposite hydrogels direct in situ growth and alignment of myotubes KJ De France, KG Yager, KJW Chan, B Corbett, ED Cranston, T Hoare Nano letters 17 (10), 6487-6495, 2017 | 124 | 2017 |
| Subspace identification for data‐driven modeling and quality control of batch processes B Corbett, P Mhaskar AIChE Journal 62 (5), 1581-1601, 2016 | 110 | 2016 |
| Data‐driven model predictive quality control of batch processes S Aumi, B Corbett, T Clarke‐Pringle, P Mhaskar AIChE Journal 59 (8), 2852-2861, 2013 | 58 | 2013 |
| Data-based modeling and control of nylon-6, 6 batch polymerization S Aumi, B Corbett, P Mhaskar, T Clarke-Pringle IEEE Transactions on Control Systems Technology 21 (1), 94-106, 2012 | 41 | 2012 |
| Integrating dynamic neural network models with principal component analysis for adaptive model predictive control H Hassanpour, B Corbett, P Mhaskar Chemical Engineering Research and Design 161, 26-37, 2020 | 37 | 2020 |
| High-throughput synthesis, analysis, and optimization of injectable hydrogels for protein delivery F Xu, B Corbett, S Bell, C Zhang, M Budi Hartono, ZJ Farsangi, ... Biomacromolecules 21 (1), 214-229, 2019 | 34 | 2019 |
| Data-driven modeling and quality control of variable duration batch processes with discrete inputs B Corbett, P Mhaskar Industrial & Engineering Chemistry Research 56 (24), 6962-6980, 2017 | 32 | 2017 |
| Subspace model identification and model predictive control based cost analysis of a semicontinuous distillation process V Meidanshahi, B Corbett, TA Adams II, P Mhaskar Computers & Chemical Engineering 103, 39-57, 2017 | 29 | 2017 |
| Subspace-based model identification of a hydrogen plant startup dynamics A Garg, B Corbett, P Mhaskar, G Hu, J Flores-Cerrillo Computers & Chemical Engineering 106, 183-190, 2017 | 23 | 2017 |
| Narrowly dispersed, degradable, and scalable poly (oligoethylene glycol methacrylate)-based nanogels via thermal self-assembly MJ Simpson, B Corbett, A Arezina, T Hoare Industrial & Engineering Chemistry Research 57 (22), 7495-7506, 2018 | 22 | 2018 |
| Modeling and control of batch processes P Mhaskar, A Garg, B Corbett Springer, London, UK, 2015 | 16 | 2015 |
| Model predictive quality control of polymethyl methacrylate B Corbett, B Macdonald, P Mhaskar IEEE Transactions on Control Systems Technology 23 (2), 687-692, 2014 | 16 | 2014 |
| Model predictive quality control of batch processes S Aumi, B Corbett, P Mhaskar 2012 American Control Conference (ACC), 5646-5651, 2012 | 16 | 2012 |
| Artificial neural network-based model predictive control using correlated data H Hassanpour, B Corbett, P Mhaskar Industrial & Engineering Chemistry Research 61 (8), 3075-3090, 2022 | 14 | 2022 |
| Model predictive control using subspace model identification N Patel, B Corbett, P Mhaskar Computers & Chemical Engineering 149, 107276, 2021 | 11 | 2021 |
| Subspace based model identification for missing data N Patel, P Mhaskar, B Corbett AIChE Journal 66 (10), e16538, 2020 | 10 | 2020 |
| Supply chain monitoring using principal component analysis J Wang, CLE Swartz, B Corbett, K Huang Industrial & Engineering Chemistry Research 59 (27), 12487-12503, 2020 | 9 | 2020 |
| Modeling and optimization of protein pegylation S Xiaojiao, B Corbett, B Macdonald, P Mhaskar, R Ghosh Industrial & Engineering Chemistry Research 55 (45), 11785-11794, 2016 | 9 | 2016 |
| Process‐aware data‐driven modelling and model predictive control of bioreactor for the production of monoclonal antibodies S Sarna, N Patel, B Corbett, C McCready, P Mhaskar The Canadian Journal of Chemical Engineering 101 (5), 2677-2692, 2023 | 8 | 2023 |
| Artificial neural network based model predictive control: Implementing achievable set‐points H Hassanpour, B Corbett, P Mhaskar AIChE Journal 68 (1), e17436, 2022 | 7 | 2022 |
Prashant MhaskarProfessor of Chemical Engineering, McMaster UniversityVerified email at mcmaster.ca
