Anilkumar, MarkanaMarkanaAnilkumarPadhiyar, NitinNitinPadhiyarMoudgalya, KannanKannanMoudgalya2025-08-302025-08-302018-03-07[9781538629048]10.1109/INDIANCC.2018.83079892-s2.0-85050691554http://repository.iitgn.ac.in/handle/IITG2025/22896The optimization problem associated with model predictive control (MPC) is often multi-objective in nature. Conventionally, these objectives are augmented with proper weighting parameters and solved using a single objective optimization. The weighting parameters in the augmented objective function represent their priorities. However, selection of these weighting parameters requires proper tuning for required performance. Hence, an explicit multi-objective optimization approach in MPC is quite valuable. Furthermore, solving multi-criterion control problem poses additional challenges for batch or semi-batch processes because of their inherent non-steady state operation. We present a case study of semi-batch process for its multi-criterion MPC with user defined priority in this work. The results are further compared with single augmented objective approach.falseConference Paper264-2697 March 20185cpConference Proceeding4