: Use robstab to find the "robust stability margin," which indicates the percentage of modeled uncertainty the system can handle before becoming unstable.
: Use robgain to determine if the system meets specific performance goals (like H∞cap H sub infinity end-sub gain) across all uncertainty scenarios.
: Use wcgain to identify the specific combination of uncertain parameters that results in the worst performance. 3. Controller Synthesis Techniques Robust Control Design with MATLAB
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.
Before designing a new controller, you can analyze how much uncertainty your current system can tolerate. : Use robstab to find the "robust stability
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
) to ensure performance across the entire range of uncertainty. norm of the closed-loop system, effectively suppressing the
: Use ultidyn to represent dynamic uncertainty, often used to account for high-frequency behavior that isn't captured in the nominal model.