Robust Control Toolbox 3.3.2

Product Description

• Introduction and Key Features
• Working with the Robust Control Toolbox
• Modeling and Quantifying Plant Uncertainty
• Performing Robustness Analysis
• Synthesizing Robust Multivariable Controllers
• Reducing Controller and Plant Model Order

Modeling and Quantifying Plant Uncertainty

With the Robust Control Toolbox, you can capture not only the typical, or "nominal" behavior of your plant, but also the amount of uncertainty and variability. Plant model uncertainty can result from:

• Model parameters with approximately known or varying values
• Neglected or poorly known dynamics, such as high-frequency dynamics
• Changes in operating conditions
• Linear approximations of nonlinear behaviors
• Estimation errors in a model identified from measured data

A comparison of the step response in a nominal model and uncertain models. Click on image to see enlarged view.

The toolbox lets you build detailed uncertain models by combining nominal dynamics with uncertain elements, such as an uncertain parameter or neglected high-frequency dynamics. By quantifying the level of uncertainty in each element, you can capture the overall fidelity and variability of your plant model. You can then analyze how each uncertain element affects performance and identify worst-case combinations of uncertain element values.