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Intelligent stochastic quality control of non-Gaussian chemical processes

In this paper a real time quality control strategy is studied for non-Gaussian chemical processes using the molecular weight distribution control of styrene polymerization process as a case study. At first the system model is derived and this is then followed by the model reduction and then the required controller design. Simulated results have been obtained to show the effectiveness of the proposed method.