Model Predictive Control Toolbox
Product Description
- Overview and Key Features
- Designing and Simulating Model Predictive Controllers
- Customizing Constraints and Weights
- Controlling Plants Over a Range of Operating Conditions
- Adjusting Run-Time Controller Performance
- Deploying Model Predictive Controllers
Deploying Model Predictive Controllers
The toolbox provides two ways to deploy a controller in an application. You can use Simulink Coder to generate C code from Simulink blocks provided with Model Predictive Control Toolbox and deploy the code to a supported target system for implementation or rapid prototyping.
Hardware setup for rapid prototyping of a model predictive controller on PC-compatible hardware using Simulink Coder and xPC Target™.
You can also use OPC Toolbox™ to connect a controller operating in MATLAB directly to an OPC-compliant system.
Online System Identification and Control Using OPC Communication 18:06
Use Tuning Adviser to adjust model predictive controller weights to improve controller performance.
