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Quantitative feedback theory : ウィキペディア英語版
Quantitative feedback theory
In control theory, quantitative feedback theory (QFT), developed by Isaac Horowitz (Horowitz, 1963; Horowitz and Sidi, 1972), is a frequency domain technique utilising the Nichols chart (NC) in order to achieve a desired robust design over a specified region of plant uncertainty. Desired time-domain responses are translated into frequency domain tolerances, which lead to bounds (or constraints) on the loop transmission function. The design process is highly transparent, allowing a designer to see what trade-offs are necessary to achieve a desired performance level.
==Plant templates==

Usually any system can be represented by its Transfer Function (Laplace in continuous time domain), after getting the model of a system.
As a result of experimental measurement, values of coefficients in the Transform Function have a range of uncertainty. Therefore, in QFT every parameter of this function is included into an interval of possible values, and the system may be represented by a family of plants rather than by a standalone expression.
\mathcal(s) = \left \lbrace \dfrac, \forall z_i \in (z_ ), p_j \in (p_ ) \right \rbrace
A frequency analysis is performed for a finite number of representative frequencies and a set of ''templates'' are obtained in the NC diagram which encloses the behaviour of the open loop system at each frequency.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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