Model Predictive Control with Python GEKKO

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Model Predictive Control uses a mathematical description of a process to project the effect of Manipulated Variables (MVs) into the future and optimize a desired outcome. This example problem shows how to implement a simplified MPC for velocity regulation (cruise control) of a vehicle. An MV, accelerator pedal, is adjusted every 0.5 seconds over a time horizon of 20 seconds. The objective is to maintain the velocity of the vehicle at 40 meters per second with a reference trajectory to avoid excessive acceleration. • Source Code: https://apmonitor.com/wiki/index.php/... • GEKKO Documentation: http://gekko.readthedocs.io/en/latest/

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