On the Robustness of MEOP Design versus Asymptotic LQG Synthesis

Recently, various LQG design schemes have evolved to improve the robustness of an uncertain plant. In this paper, a SISO example system is used to compare parameter robustification capabilities of the Maximum Entropy robustified compensator design with 1) the Linear Quadratic Gaussian with Loop Transfer Recovery design technique, and 2) the Parameter Robust Linear Quadratic Gaussian synthesis method. For completeness, a robust reduced-order compensator is designed using the integrated Maximum Entropy/Optimal Projection methodology, and final comparisons are made with the full-order designs.