System Identification and MPC Design using a Low-Cost Bi-Copter Hardware

Gain hands-on experience in system identification and model predictive control (MPC) design using low-cost bi-copter hardware. Input-output data is collected through design of experiments, then used to identify a model of the bicopter. This model is used as the prediction model in the design of MPC, which is deployed to bi-copter for angular position control.