Performance monitoring of control systems using likelihood methods

Evaluating deterioration in performance of control systems using closed-loop operating data is addressed. A framework is proposed in which acceptable performance is expressed as constraints on the closed-loop transfer function impulse response coefficients. Using likelihood methods, a hypothesis test is outlined to determine if control deterioration has occurred. The method is applied to a simulation example as well as data from an operational distillation column, and the results are compared to those obtained using minimum variance estimation approaches.