Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Joel A Paulson"'
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 8, p e1007308 (2019)
We present a novel surrogate modeling method that can be used to accelerate the solution of uncertainty quantification (UQ) problems arising in nonlinear and non-smooth models of biological systems. In particular, we focus on dynamic flux balance ana
Externí odkaz:
https://doaj.org/article/d471ef8c0ce444deb623ab0c7dfaa343
Autor:
Muhammad Faheem Manzoor, Joel A. Paulson, Yasir Awais Butt, Fazal-ur Rehman, Aamer Iqbal Bhatti
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
ABSTRACTNonlinear model predictive control (NMPC) provides a nice framework for accounting for multivariable nonlinear dynamics subject to constraints; however, the cost of implementing NMPC is high due to the need to solve a large-scale nonlinear pr
Externí odkaz:
https://doaj.org/article/bb14631c0fae4393bf31d97f0be1e80e
Autor:
Congwen Lu, Joel A. Paulson
Publikováno v:
IFAC-PapersOnLine. 55:895-902
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Scalable Estimation of Invariant Sets for Mixed-Integer Nonlinear Systems using Active Deep Learning
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
Optimal Control Applications and Methods. 44:549-576
Autor:
Ali Mesbah, Joel A. Paulson
Publikováno v:
ACC
Systematic design and verification of advanced control strategies for complex systems under uncertainty largely remains an open problem. Despite the promise of black-box optimization methods for automated controller tuning, they generally lack formal
Publikováno v:
AIChE Journal. 68
Autor:
Bhavik R. Bakshi, Joel A. Paulson
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
2022 American Control Conference (ACC).