Programmed cooling control of a batch crystallizer
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Cited by (10)
Generic Model Control (GMC) in Multistage Flash (MSF) Desalination
2016, Journal of Process ControlCitation Excerpt :Cott and Macchietto [12] applied GMC strategy as controller to track the reactor temperature set point. Vega et al. [42] applied GMC controller experimentally and by simulation to a batch cooling unseeded crystallization process to control crystallizer temperature. Aziz et al. [11] used GMC to design a controller for a batch reactor to track the optimal temperature profiles.
Comparison of model-based and conventional controllers on a pilot-scale heat exchanger
2013, ISA TransactionsCitation Excerpt :The models may also contain some empirical features or they may be completely empirical. Reported applications of GMC include grain drying, distillation, batch reactors, pH, crystallization, and a blast furnace [2,3,5,9,10,15,19,25–27]. PMBC is also based on a nonlinear process model, based on fundamental laws of mass, momentum, and energy conservation.
Product quality improvement of batch crystallizers by a batch-to-batch optimization and nonlinear control approach
2008, Chemical Engineering JournalDesalination Technologies: Design and Operation
2022, Desalination Technologies: Design and OperationBatch crystallization
2019, Handbook of Industrial CrystallizationA gain-scheduling PI control based on neural networks
2017, Complexity
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