Practically

the aging of industrial equipments could lead to varying performances of control systems

while traditional control performance evaluation methods show limitations in this scenario. In response

a control system performance adaptive evaluation approach based on variable weight dynamic multi-attribute decision-making is proposed. Firstly

to judge the control performance

a calculation method that combines the system failure rate and operating time is suggested to divide the operating state of control systems to ensure that the decision information comes from different operation stages. Subsequently

a multi-attribute decision-making matrix is constructed with four evaluation indicators including the overshoot

nonlinear index

output variance

and valve stick index to evaluate aging slow time-varying systems. An analytic hierarchy process method is used to calculate the change of the attribute weight in the decision process to determine the current performance state. The proposed method was applied to an industrial DMF recovery plant

demonstrating the effectiveness of the method.