Model Predictive Control Toolbox

Model Predictive Control Toolbox

Model Predictive Control Toolbox™ equips users with functions, an app, and Simulink® blocks for effective model predictive control (MPC) development. It supports linear and nonlinear problems, offering various MPC designs including adaptive and explicit controllers. With deployable optimization solvers and robust simulation capabilities, it’s ideal for automated driving applications.

Top Model Predictive Control Toolbox Alternatives

1

MPCPy

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2

Aspen DMC3

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3

Pitops

PITOPS revolutionizes Advanced Process Control (APC) with its unique ability to perform multivariable closed-loop system identification without intrusive step tests.

4

Apromon

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5

COLUMBO

COLUMBO is an advanced closed-loop universal multivariable optimizer for Model Predictive Control (MPC) that enhances control system performance by utilizing AI-driven algorithms.

6

INCA MPC

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Top Model Predictive Control Toolbox Features

  • Model Predictive Control functions
  • Simulink MPC blocks
  • Reference examples for MPC
  • Implicit MPC design
  • Explicit MPC generation
  • Adaptive MPC capabilities
  • Gain-scheduled MPC support
  • Nonlinear MPC implementation
  • Multi-stage nonlinear MPC
  • Deployable optimization solvers
  • Custom solver integration
  • Closed-loop simulation evaluation
  • MISRA C compliance
  • ISO 26262 compliance
  • Lane keep assist applications
  • Path planning solutions
  • Path following techniques
  • Adaptive cruise control examples
  • Mixed-integer QP support
  • Discrete control set MPC