?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Uncertainty+aware+integration+of+planning%2C+scheduling+and+multi-parametric+control&rft.creator=Charitopoulos%2C+VM&rft.creator=Aguirre%2C+AM&rft.creator=Papageorgiou%2C+LG&rft.creator=Dua%2C+V&rft.description=In+this+work+we+investigate+the+integrated+planning%2C+scheduling+and+control+(iPSC)+of+process+systems+under+uncertain+conditions+throughout+the+three+levels+of+decision+making.+The+planning+problem+is+explored+in+a+rolling+horizon+fashion+coupled+with+demand+forecasts.+Proactive+and+reactive+approaches+are+employed+to+handle+the+effect+of+stochastic+variations.+Depending+on+the+nature+of+the+uncertain+parameters+robust+optimisation+and+chance+constrained+programming+are+employed.+For+the+closed-loop+implementation+of+the+control%2C+novel+multi-parametric+controllers+are+designed.+The+proposed+framework+is+tested+on+the+iPSC+of+a+polymerisation+process.+Finally%2C+Monte+Carlo+simulations+are+conducted+to+highlight+the+benefits+of+the+%E2%80%9Cuncertainty-aware%E2%80%9D+solutions+when+compared+to+the+deterministic+ones.&rft.publisher=Elsevier&rft.date=2018-08-02&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++Computer+Aided+Chemical+Engineering.++(pp.+pp.+1171-1176).++Elsevier+(2018)+++++&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10111722%2F