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Predictive controller based on model has been known as a reliable and robust controller in the last 20 years. This paper presents a new idea of design and implementing an adaptive model predictive controller on an industrial “dynamic” and “nonlinear” plant in an integrated software environment using Hysys and Matlab packages. The model predictive controller formation is based on an adaptive state-space...
Some chemical plants such as distillation column have highly nonlinear behavior. These processes demand a powerful identification method such as linear and nonlinear models. In this paper, a distillation column is simulated in a rather realistic environment by HYSYS and the obtained data is in connection with MATLAB for identification and control purpose. In this case, the identified model is characterized...
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