Iterative learning model predictive control for constrained multivariable control of batch processes
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文摘

We propose a MPC technique combined with ILC for constrained multivariable control.

The proposed ILMPC formulation is based on general MPC and incorporates an iterative learning function into MPC.

We provide sufficient conditions for asymptotic and monotonic convergences of the proposed ILMPC.

Simulation examples are provided to show the effectiveness of the proposed technique.

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