Model Predictive Control Toolbox™ Release Notes

Version 2.0 (R14) Model Predictive Control ToolboxTM Software

This table summarizes what's new in Version 2.0 (R14):

New Features and Changes	Version Compatibility Considerations	Fixed Bugs and Known Problems	Related Documentation at Web Site
Yes Details below	No	Fixed bugs	No

New features and changes introduced in this version are

• Object-Oriented Command Syntax Revised
• MPC Block for Simulink^® Revised
• MPC Tools Designer Added
• Integration with Other MATLAB^® Toolboxes
• Demos
• Documentation

Object-Oriented Command Syntax Revised

The command syntax has been completely revised, and is similar to that used in the Control System Toolbox^TM software. You create an "LTI object" to represent the plant to be controlled, using it and other specifications to create an MPC object, which represents the controller. You can then analyze controller properties, run simulations, modify the controller design, etc. The following list summarizes the major command features:

• Create and modify an MPC object.
• Extract a linear representation of the unconstrained controller as an LTI object (transfer function, state space, or zero-pole-gain).
• Calculate closed-loop steady-state gains for the unconstrained controller.
• Determine closed-loop steady-state conditions for given inputs and/or outputs.
• Calculate the constrained control action at a specified condition (can be used repeatedly as time evolves in a simulation or experiment).
• Simulate closed-loop constrained response for a linear plant and arbitrary changes in the reference signals (setpoints), disturbances, and noise.
• Specify disturbance characteristics to improve regulation while maintaining good response to reference signal changes (2-DOF design).

MPC Block for Simulink® Revised

The completely revised MPC block lets you insert your MPC controller object into a Simulink^® block diagram. You can use multiple MPC blocks within a single Simulink model if you want. In any case, the MPC block makes it easy to evaluate controller performance with a nonlinear plant.

MPC Tools Designer Added

MPC Tools is a new graphical environment that lets you design and test an MPC controller object without learning the command syntax. It is tightly integrated with the MPC block for Simulink, making it easy to run either a linear or nonlinear simulation.

Integration with Other MATLAB® Toolboxes

The Model Predictive Control Toolbox^TM uses the same LTI model representation found in the Control System Toolbox^TM software, System Identification Toolbox^TM software, etc. Examples of ways in which you can exploit toolbox compatibility include the following:

• Import raw dynamic response data to the System Identification Toolbox, software, determine an appropriate LTI plant model, and export it to Model Predictive Control Toolbox software for controller design.
• Extract an LTI representation of a model predictive controller for analysis in the Control System Toolbox or Robust Control Toolbox^TM.

Integration with Control and Estimation Tools Manager

The Model Predictive Control Graphical Design Tool is integrated with other control and estimation projects within the Control and Estimation Tools Manager environment. In general, this lets you group control-related applications associated with the same Simulink model and share infrastructure. Specifically, the ability to combine the functionality of Model Predictive Control Toolbox and Simulink Control Design Toolbox softwre allows in-situ model predictive control design in Simulink by linearizing a Simulink model as it is connected to an MPC block, with automatic use of the resulting linear model to define the internal MPC plant model.

Demos

The Model Predictive Control Toolbox software includes new demos that highlight all the added features.

Documentation

The documentation has been revised completely.

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Version 2.1 (R14SP1) Model Predictive Control ToolboxTM Software

Compatibility Summary for Model Predictive Control ToolboxTM

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