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Model Predictive Control Toolbox Product Description

Design and simulate model predictive controllers

Model Predictive Control Toolbox™ provides functions, an app, and Simulink® blocks for designing and simulating model predictive controllers (MPCs). The toolbox lets you specify plant and disturbance models, horizons, constraints, and weights. By running closed-loop simulations, you can evaluate controller performance.

You can adjust the behavior of the controller by varying its weights and constraints at run time. To control a nonlinear plant, you can implement adaptive and gain-scheduled MPCs. For applications with fast sample rates, you can generate an explicit model predictive controller from a regular controller or implement an approximate solution.

For rapid prototyping and embedded system implementation, the toolbox supports automatic C-code and IEC 61131-3 Structured Text generation.

Key Features

  • App for interactive design of MPC controllers

  • Runtime adjustment of weights and constraints

  • Adaptive and gain-scheduled MPCs for controlling systems with nonlinear dynamics

  • Explicit MPC and approximate solution for guaranteed worst-case execution time

  • Economic MPC with arbitrary nonlinear cost function and constraints

  • Computationally efficient quadratic programming (QP) solver, and support for third-party solvers

  • Support for C-code generation (with Simulink Coder™) and IEC 61131-3 Structured Text generation (with Simulink PLC Coder™)

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