Demonstration of leapfrogging for implementing nonlinear model predictive control on a heat exchanger
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文摘

Nonlinear control requires a model, often developed with nonlinear regression.

Model predictive control (MPC) needs to optimize the time-sequence of future manipulated variable inputs to the model.

This work uses a novel Leapfrogging optimizer for both applications, and

Demonstrates nonlinear MPC on a pilot-scale heat exchanger.

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