| 1 |
A robust modifier adaptation method via Hessian augmentation using model uncertainties
Speakman J, Papasavvas A, Francois G
Journal of Process Control, 99, 28, 2021 |
| 2 |
Investigating the impacts of thermochemical group additivity values on kinetic model predictions through sensitivity and uncertainty analyses
Lehn FV, Cai LM, Pitsch H
Combustion and Flame, 213, 394, 2020 |
| 3 |
Realization of Reachability for the Control of a Class of Nonlinear Systems
Chai YT, Cai LL
IEEE Transactions on Automatic Control, 65(3), 1073, 2020 |
| 4 |
Accurate Uncertainty Propagation for Discrete-Time Nonlinear Systems Using Differential Inequalities With Model Redundancy
Yang XJ, Scott JK
IEEE Transactions on Automatic Control, 65(12), 5043, 2020 |
| 5 |
"Class-Type" Identification-Based Internal Models in Multivariable Nonlinear Output Regulation
Bin M, Marconi L
IEEE Transactions on Automatic Control, 65(10), 4369, 2020 |
| 6 |
Surrogate model uncertainty in wind turbine reliability assessment
Slot RMM, Sorensen JD, Sudret B, Svenningsen L, Thogersen ML
Renewable Energy, 151, 1150, 2020 |
| 7 |
MAXIMUM PRINCIPLE FOR STOCHASTIC RECURSIVE OPTIMAL CONTROL PROBLEM UNDER MODEL UNCERTAINTY
Hu MS, Wang FL
SIAM Journal on Control and Optimization, 58(3), 1341, 2020 |
| 8 |
Uncertainty estimation for wind energy conversion by probabilistic wind turbine power curve modelling
Yan J, Zhang H, Liu YQ, Han S, Li L
Applied Energy, 239, 1356, 2019 |
| 9 |
Stochastic NMPC/DRTO of batch operations: Batch-to-batch dynamic identification of the optimal description of model uncertainty
Rossi F, Manenti F, Buzzi-Ferraris G, Reklaitis G
Computers & Chemical Engineering, 122, 395, 2019 |
| 10 |
Model predictive control with active learning for stochastic systems with structural model uncertainty: Online model discrimination
Heirung TAN, Santos TLM, Mesbah A
Computers & Chemical Engineering, 128, 128, 2019 |
