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The input aggregation strategy can reduce the online computational burden of the model predictive controller. But generally aggregation based MPC controller may lead to poor control quality. Therefore,a new concept,equivalent aggregation,is proposed to guarantee the control quality of aggregation based MPC. From the general framework of input linear aggregation,the design methods of equivalent aggregation are developed for unconstrained and terminal zero constrained MPC,which guarantee the actual control inputs exactly to be equal to that of the original MPC. For constrained MPC,quasi-equivalent aggregation strategies are also discussed,aiming to make the difference between the control inputs of aggregation based MPC and original MPC as small as possible. The stability conditions are given for the quasi-equivalent aggregation based MPC as well.
The input aggregation strategy can reduce the online computational burden of the model predictive controller. Therefore, a new concept, equivalent aggregation, is proposed to guarantee the control quality of aggregation based MPC. From the general framework of input linear aggregation, the design methods of equivalent aggregation are developed for unconstrained and terminal zero constrained MPC, which guarantee the actual control inputs exactly to be equal to that of the original MPC. For constrained MPC, quasi-equivalent aggregation The stability conditions are given for the quasi-equivalent aggregation based MPC as well.