Multiple model adaptive control design for a multiple-input multiple-output chemical reactor

Multiple adaptive and nonadaptive models are used to represent the behavior of processes that are known to transition to unknown regimes in the operat ing space. The adaptive models investigated are of two types, free-running and re-initializable, that differ in the initialization of their parameters . Using these models and their companion controllers in a model reference a daptive structure, it is shown that this mixed model set can provide satisf actory control of a nonlinear, interactive, multiple-input multiple-output chemical reactor with active constraints.