7. Estimation Design for SISO Using Parameterization Approach

As as been discussed so far, Youla parameterization is a well-established technique in deriving SISO (single-input single-output) and, to a lesser extent, MIMO (multiple-input multiple-output) controllers [1]. However, the utility of this methodology in estimation design, specifically in the framework of controller output observer (COO) [15], is not established. The fundamental question to be answered is as follows: is it possible to design a deterministic estimation technique using Youla parameterization with the same robust performance, or better, than well-established stochastic estimation techniques such as Kalman filtering? To prove this point, at this stage, a comparative analysis between Youla parameterization in estimation and Kalman filtering is performed through simulations only.