Minimizing conditional value-at-risk instead of worst-case performance reduces conservatism in robust H2/H-infinity control by tolerating rare degradations for better average behavior.
Systems modeling, analysis and control (SMAC) toolbox: An insight into the robustness analysis library,
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Robust H2/H-infinity control under stochastic requirements: minimizing conditional value-at-risk instead of worst-case performance
Minimizing conditional value-at-risk instead of worst-case performance reduces conservatism in robust H2/H-infinity control by tolerating rare degradations for better average behavior.