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Getting Started with Model Predictive Control Toolbox


About Model Predictive Control

  • MPC Modeling

    Model predictive controllers use plant, disturbance, and noise models for prediction and state estimation.

  • Controller State Estimation

    MPC controllers use their current state as the basis for predictions. In general, the controller states are unmeasured and must be estimated.

  • Optimization Problem

    Model predictive controllers compute optimal manipulated variable control moves by solving a quadratic program at each control interval.

  • QP Solver

    The model predictive controller QP solver converts an MPC optimization problem to a general form quadratic programming problem.