@inproceedings{discovery10111722,
           pages = {1171--1176},
       booktitle = {Computer Aided Chemical Engineering},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
          volume = {44},
       publisher = {Elsevier},
            year = {2018},
           title = {Uncertainty aware integration of planning, scheduling and multi-parametric control},
           month = {August},
             url = {https://doi.org/1010.1016/B978-0-444-64241-7.50190-7},
        abstract = {In this work we investigate the integrated planning, 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, novel multi-parametric controllers are designed. The proposed framework is tested on the iPSC of a polymerisation process. Finally, Monte Carlo simulations are conducted to highlight the benefits of the "uncertainty-aware" solutions when compared to the deterministic ones.},
          author = {Charitopoulos, VM and Aguirre, AM and Papageorgiou, LG and Dua, V}
}