Titlebook: Parametrizations in Control, Estimation and Filtering Problems: Accuracy Aspects; Michel Gevers,Gang Li Book 1993 Springer-Verlag London L

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Finite Word Length errors and computations,g form. These technological developments have given rise to major progresses in digital signal processing theory. In particular, digital system (or filter) design has become an important field in electrical engineering and in systems and control theory. One of the important problems in digital filte

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Parametrizations in digital system design,s’— more often called ‘direct forms’ in the signal processing community — because these forms minimize the number of coefficients and arithmetic operations that are required. A minimal number of coefficients corresponds to minimal complexity, an attribute that may be important if the operation count

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A new transfer function sensitivity measure,bal sensitivity measure, with and without frequency weighting, respectively. The initial unweighted sensitivity measure of the transfer function with respect to the parameters of the state space model was first proposed by Tavsanoglu and Thiele [TT84], and it was extended in Chapter 4 to a weighted

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Synthetic FWL compensator design,om the more classical FWL filter realization problem. To make this distinction more transparent, we have introduced a hierarchy of design strategies, denoted strategies (i) to (iv), and in the conclusion of Chapter 9 we have distinguished between optimal FWL . and optimal FWL .. Depending on the com

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Parametrizations in the Delta operator,easy to implement since it consists simply of a shift. However, a disadvantage of the shift operator is that it does not at all approximate the continuous time operator .(.)/.. Heuristically, it might be suspected that a better correspondence is obtained between continuous and discrete time represen