# Control Theory and Optimization I by M.I. Zelikin, S.A. Vakhrameev By M.I. Zelikin, S.A. Vakhrameev

The single monograph at the subject, this booklet issues geometric tools within the concept of differential equations with quadratic right-hand aspects, heavily concerning the calculus of diversifications and optimum keep an eye on conception. in accordance with the author’s lectures, the booklet is addressed to undergraduate and graduate scholars, and clinical researchers.

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Additional info for Control Theory and Optimization I

Sample text

24) can be readily applied to more conventional positioning systems such as radars and sonars (see the example below). Here again super resolution effects can be exploited. But the important factor to keep in mind is that the channel capacity cannot be exceeded. 3 The following is an example of a capacity calculation. Consider a simple polar radar system which measures range by means of pulses and angle using a phased array antenna. Suppose that the pulse bandwidth is small compared to the carrier frequency, the directivity of the antenna is high and the field of view is relatively small.

F, of K successive components can be written as px(X) = ( 2 , ~ ) . 10) where • is the covariance matrix. 12) where i and s range from 1 to n; j and t range from 1 to K. Now define an n by n matrix R ( k ) given by [R(k)],. 13) where k = j - t. +. = [R(j - ~)1,.. 14) 60 5. Coding Accordingly, ~K can be written as a block Toeplitz matrix R(0) R(-1) R(1) R(0) : : R(-(K- ... R ( K - 1) R ( K - 2) ... 1)) R ( - ( K - 2)) ... 15) Note that a T ( k ) = R ( - k ) . 17) i=1 where A~,Kis the ith eigenvalue o f ~ .

This corresponds to a radial-radial positioning system with one reference site at (0, 0) and one at (0, a). s7) with f~ being a constant of proportionality. 88) and T,, is defined by the correlation matrix 0 ~ " This class of devices is simply the class of radial-radial devices with one reference site at (0, 0) and the other at (0, a), with additive gaussian errors whose variance obeys the inverse square law. There will be no universal optimum, the optimum device will depend on the form o f p x ( X ).