Specifications

1 Introduction
1-2
Model Predictive Control Toolbox Product Description
Design and simulate model predictive controllers
Model Predictive Control Toolbox™ provides functions, an app, and Simulink
®
blocks for
systematically analyzing, designing, and simulating model predictive controllers. You
can specify plant and disturbance models, horizons, constraints, and weights. The toolbox
enables you to diagnose issues that could lead to run-time failures and provides advice on
tuning weights to improve performance and robustness. By running different scenarios in
linear and nonlinear simulations, you can evaluate controller performance.
You can adjust controller performance as it runs by tuning weights and varying
constraints. You can implement adaptive model predictive controllers by updating the
plant model at run time. For applications with fast sample times, you can develop explicit
model predictive controllers. For rapid prototyping and embedded system design, the
toolbox supports C-code and IEC 61131-3 Structured Text generation.
Key Features
•
Design and simulation of model predictive controllers in MATLAB
®
and Simulink
• Customization of constraints and weights with advisory tools for improved
performance and robustness
• Adaptive MPC control through run-time changes to internal plant model
• Explicit MPC control for applications with fast sample times using pre-computed
solutions
• Control of plants over a wide range of operating conditions by switching between
multiple model predictive controllers
• Specialized model predictive control quadratic programming (QP) solver optimized for
speed, efficiency, and robustness
• Support for C-code generation with Simulink Coder™ and IEC 61131-3 Structured
Text generation with Simulink PLC Coder™