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Robust Optimal Control of Supply Networks
| Script | states | controls |
number of regions (robust / MPT) |
number of regions (robust / Seba) |
number of regions (average cost / MPT) |
number of regions (average cost / Seba) |
| beergame1cl.m | 4 | 1 | 2 |
2 (with lpsolver=cdd) 3 (with lpsolver=nag) |
2 (for nint=1 and x_1<=36) Higher number of points of the disturbance distribution or larger bound on x_1 create extra regions with same control law but different value function |
2 (for nint=1 and x_1<=36 with lpsolve=CDD) error (did not find fulldim basis) with nint=4 after found 3 regions in in time step 5 |
| beergame5cl.m | 15 | 4 | 145 (after 20 iterations, maximum 373 regions in iterations 10 and 11) |
states: dimension of state space
controls: number of control inputs
robust: minimizing worst-case cost
average: minizing expected cost
MPT: mpt_mplp_ver7 used for solving the parametric LPs
Seba: Seba's version of the pLCP solver used for solving the parametric LPs
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