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.
: You can incorporate uncertain blocks directly into Simulink models for non-linear simulation and use the Control System Tuner to tune robust, fixed-structure controllers. Robust Control Design with MATLAB
is too conservative. It optimizes the structured singular value ( The first step is to represent the system
: Use ureal for real parameters with a range (e.g., ) or ucomplex for complex uncertainties. It optimizes the structured singular value ( :
: Use robstab to find the "robust stability margin," which indicates the percentage of modeled uncertainty the system can handle before becoming unstable.
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
: 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