Robust Control Design With Matlab Link

: Combine these elements with standard LTI objects (like tf or ss ) to create an uncertain state-space ( uss ) model. 2. Robust Stability and Performance Analysis

: Use ureal for real parameters with a range (e.g., ) or ucomplex for complex uncertainties. Robust Control Design with MATLAB

: Methods like ncfsyn (normalized coprime factor plant description) allow you to specify desired open-loop shapes to balance performance and robustness. 4. Verification and Implementation : Combine these elements with standard LTI objects

Before designing a new controller, you can analyze how much uncertainty your current system can tolerate. Robust Control Design with MATLAB

: Use wcgain to identify the specific combination of uncertain parameters that results in the worst performance. 3. Controller Synthesis Techniques

) to ensure performance across the entire range of uncertainty.