Optimal low-order controller design via LQG-like parametrization

A novel LQG (linear quadratic Gaussian)-like parametrization scheme is introduced for low-order controller design. Descent-based design methodologies are developed for optimizing an H₂ -cost with respect to the controller design parameters, which in this case are the reduced-order regulator and estimator gain matrices. A numerical experiment using a large-scale structure model shows the efficiency of this approach. The design methodology is easy to implement and is shown to be suitable for MIMO (multiple-input multiple-output), low-order controller design