| 1 |
Techno-economic analysis and optimal control of battery storage for frequency control services, applied to the German market
Engels J, Claessens B, Deconinck G
Applied Energy, 242, 1036, 2019 |
| 2 |
Chance-constrained H-infinity control for a class of time-varying systems with stochastic nonlinearities: The finite-horizon case
Tian EG, Wang ZD, Zou L, Yue D
Automatica, 107, 296, 2019 |
| 3 |
A scalable stochastic programming approach for the design of flexible systems
Pulsipher JL, Zavala VM
Computers & Chemical Engineering, 128, 69, 2019 |
| 4 |
A data-driven robust optimization approach to scenario-based stochastic model predictive control
Shang C, You FQ
Journal of Process Control, 75, 24, 2019 |
| 5 |
Advanced chance-constrained predictive control for the efficient energy management of renewable power systems
Vergara-Dietrich JD, Morato MM, Mendes PRC, Cani AA, Normey-Rico JE, Bordons C
Journal of Process Control, 74, 120, 2019 |
| 6 |
Optimal Bayesian experiment design for nonlinear dynamic systems with chance constraints
Paulson JA, Martin-Casas M, Mesbah A
Journal of Process Control, 77, 155, 2019 |
| 7 |
On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages
Appino RR, Ordiano JAG, Mikut R, Faulwasser T, Hagenmeyer V
Applied Energy, 210, 1207, 2018 |
| 8 |
Stochastic Model Predictive Control with adaptive constraint tightening for non-conservative chance constraints satisfaction
Munoz-Carpintero D, Hu GQ, Spanos CJ
Automatica, 96, 32, 2018 |
| 9 |
Stochastic model predictive control - how does it work?
Heirung TAN, Paulson JA, O'Leary J, Mesbah A
Computers & Chemical Engineering, 114, 158, 2018 |
| 10 |
Dynamic real-time optimization under uncertainty of a hydroformylation mini-plant
Muller D, Illner M, Esche E, Pogrzeba T, Schmidt M, Schomacker R, Biegler LT, Wozny G, Repke JU
Computers & Chemical Engineering, 106, 836, 2017 |
