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Nonlinear Control Sy.. - Free

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11.1. OBSERVERS FOR LINEAR TIME-INVARIANT SYSTEMS 295<br />

or<br />

x = (A - LC).i. (11.10)<br />

Thus, x -+ 0 as t --> oo, provided the so-called observer error dynamics (11.10) is asymptotically<br />

(exponentially) stable. This is, of course, the case, provided that the eigenvalues<br />

of the matrix A - LC are in the left half of the complex plane. It is a well-known result<br />

that, if the observability condition (11.7) is satisfied, then the eigenvalues of (A - LC) can<br />

be placed anywhere in the complex plane by suitable selection of the observer gain L.<br />

11.1.4 Separation Principle<br />

Assume that the system (11.1) is controlled via the following control law:<br />

u = Kx (11.11)<br />

i = Ax+Bu+L(y-Cx) (11.12)<br />

i.e. a state feedback law is used in (11.11). However, short of having the true state x<br />

available for feedback, an estimate x of the true state x was used in (11.11). Equation<br />

(11.12) is the observer equation. We have<br />

i = Ax+BKx<br />

Ax+BKx - BK±<br />

(A + BK)x - BK±.<br />

Also<br />

Thus<br />

where we have defined<br />

(A - LC)i<br />

A 0BK ABLC] [x]<br />

x=Ax<br />

The eigenvalues of the matrix A are the union of those of (A + BK) and (A - LC).<br />

Thus, we conclude that<br />

(i) The eigenvalues of the observer are not affected by the state feedback and vice versa.<br />

(ii) The design of the state feedback and the observer can be carried out independently.<br />

This is called the separation principle.

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