) to ensure performance across the entire range of uncertainty.
: Use robgain to determine if the system meets specific performance goals (like H∞cap H sub infinity end-sub gain) across all uncertainty scenarios. Robust Control Design with MATLAB
: 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 ) to ensure performance across the entire range
: 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 Robust Control Design with MATLAB
: Robust controllers often have high order. Use reduce to find a lower-order approximation that still meets performance requirements. Robust Control Design with MATLAB: | Guide books
: Use propagate or usample to generate a set of randomized Bode or step responses to visually inspect how uncertainty affects the time and frequency domains.