Abstract
This paper compares the performance of three nonlinear model-based predictive control (NLMPC) algorithms on the basis of how they modify the standard linear MPC prediction equation to handle nonlinear systems. A simple static system and a simulated polymer reactor are used for illustrative purposes.
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