Open/closed loop bifurcation analysis and dynamic simulation for identification and model based control of polymerization reactors

All steps of nonlinear system identification represent very challenging theoretical and practical problems, for a general theory is not available. As a result, further investigation on systematic techniques for nonlinear model validation is a relevant research issue that needs to be explored for proper model based controller implementation. Bifurcation analysis and dynamic simulation were employed for proper model identification and synthesis of model based controllers. The nonlinear model based control of batch and CSTR polymerization reactors are analyzed, as a case study. It is Suggested that dynamic simulation analysis and the investigation of bifurcation diagrams (open/closed loop analysis), using reactor jacket temperature and weight average molecular weight set point as the bifurcation parameters, should be included as a synthesis criteria for nonlinear identification and model based control purposes.