Robust Control Toolbox 3.4

Working with Robust Control Toolbox

A plant model is rarely a fully accurate description of the real plant. Neglected dynamics, approximately known parameters, and changes in operating conditions all contribute to plant-modeling errors that can jeopardize controller performance. A controller is "robust" when it maintains its performance regardless of plant modeling errors.

The Robust Control Toolbox provides a systematic approach to designing robust, multivariable feedback control systems. This approach involves the following steps:

• Modeling and quantifying plant uncertainty
• Performing robustness analysis
• Synthesizing robust, multivariable controllers
• Reducing controller and plant model order