: Use robgain to determine if the system meets specific performance goals (like H∞cap H sub infinity end-sub gain) across all uncertainty scenarios.
The first step is to represent the system with its known uncertainties, such as parameter variations (e.g., mass, stiffness) or unmodeled high-frequency dynamics. 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 : Use robgain to determine if the system
: Use wcgain to identify the specific combination of uncertain parameters that results in the worst performance. 3. Controller Synthesis Techniques Controller Synthesis Techniques : Use ultidyn to represent
: Use ultidyn to represent dynamic uncertainty, often used to account for high-frequency behavior that isn't captured in the nominal model.
: Use ureal for real parameters with a range (e.g., ) or ucomplex for complex uncertainties.
norm of the closed-loop system, effectively suppressing the impact of disturbances and noise. -Synthesis : Use musyn for more complex problems where H∞cap H sub infinity end-sub