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.