| 1 |
Scenario-based approach for design and comparatively analysis of conventional and renewable energy systems
Han S, Won W, Kim J
Energy, 129, 86, 2017 |
| 2 |
On the sample size of random convex programs with structured dependence on the uncertainty
Zhang XJ, Grammatico S, Schildbach G, Goulart P, Lygeros J
Automatica, 60, 182, 2015 |
| 3 |
The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations
Schildbach G, Fagiano L, Frei C, Morari M
Automatica, 50(12), 3009, 2014 |
| 4 |
Stochastic model predictive control of LPV systems via scenario optimization
Calafiore GC, Fagiano L
Automatica, 49(6), 1861, 2013 |
| 5 |
Scenario optimization modeling approach for design and management of biomass-to-biorefinery supply chain system
Sharma B, Ingalls RG, Jones CL, Huhnke RL, Khanchi A
Bioresource Technology, 150, 163, 2013 |
| 6 |
Robust Model Predictive Control via Scenario Optimization
Calafiore GC, Fagiano L
IEEE Transactions on Automatic Control, 58(1), 219, 2013 |
| 7 |
RANDOM CONVEX PROGRAMS WITH L-1-REGULARIZATION: SPARSITY AND GENERALIZATION
Campi MC, Care A
SIAM Journal on Control and Optimization, 51(5), 3532, 2013 |
| 8 |
Optimal design of cryogenic air separation columns under uncertainty
Zhu Y, Legg S, Laird CD
Computers & Chemical Engineering, 34(9), 1377, 2010 |
