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EN
The sensitivity function in a generic two-degree of freedom (TDOF) control system can be decomposed into three major parts: design-, realizability- and modeling-loss. This decomposition opens new ways for practical optimization of TDOF systems and helps the construction of new algorithms for robust identification and control. The paper investigates the optimality of the second term in different norm spaces.
EN
The TFR equivalent forms of LTI systems are used to analyze some structural properties of the classical SF and SFO schemes. It is shown how the poles and zeros of the closed-loop system can be designed in a TDOF scheme. A two-step procedure is suggested to reach full zero/pole placement for SISO systems.
EN
Interesting structural considerations can be derived from comparison of the topologies and forms of regulators obtained by the pole-placement design, the GTDOF and the MPC. Practical advice is given to the polynomial orders of the MPC. A new simple method is introduced for iterative ID and control based on these findings.
EN
The paper discusses a generic two-degree of freedom controller scheme for linear plants and then extends the results to block-oriented factorable nonlinear processes. This generalization is quite straightforward for both IS and IU Hammerstein models, however, it can be performed only for IS Wiener models. An iterative controller refinement scheme is also presented.
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