With the goals of optimal performance

energy conservation and cost effectiveness of process operations in industry

controller performance assessment of process control have received great attention in both academia and industry.Controller performance monitoring and assessment are necessary to assure effectiveness of model predictive control systems and consequently safe and profitable plant operation. Taking region constraint properties of model predictive control(MPC)into consideration

a novel approach based on the weighted point statistics is developed for the performance assessment of region control(RC)problems in this study.All controlled variables are grouped into two categories:constrained variables(CVs)and quality variables(QVs)

according to the importance of the controlled variables in MPC systems.By introducing the weighted points for all controlled variables

the performance index is calculated based on the statistics analysis of closed-loop data sets

which can be used to assess the performance of an MPC control system.The important advantage of the proposed approach is that just the routine closed-loop operation data of the system and constrained region of each CV are required

which is convenient for the industrial applications.Simulation example and industrial case study illustrate the applicability of the proposed approach.