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- W59187831 abstract "In the paper, the MLMO principle that More Large and more complex the controlled process is, More Objectives there are to be satisfied to control the process with quality is proposed. And the concept and approach of process partition (PP) is also put forward for modelling the complex process with varying characteristic. To multiobjectively control the process with linguistic uncertainty, the result-related fuzzy multiobjective predictive control approach is proposed and finally the intelligent multiobjective optimal control(IMOP) which is a combination of the process partition(PP), the fuzzy multiobjective predictive control(FMPC) methods and the expert system techniques is put forward and applied to control the train-travelling process with good results." @default.
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- W59187831 date "1991-01-01" @default.
- W59187831 modified "2023-10-16" @default.
- W59187831 title "Intelligent Multiobjective Optimal Control" @default.
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- W59187831 doi "https://doi.org/10.1016/s1474-6670(17)51331-2" @default.
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