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Adaptative high-gain extended Kalman filter and applications

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tel-00559107, version 1 - 24 Jan 2011<br />

2.3 Observability Normal Forms<br />

is <strong>high</strong>ly non-generic (it has co-dimension ∞, see [57]). The non-genericity of observability<br />

is given by the two following theorems.<br />

Theorem 9 ([38], Pg 22)<br />

The system (Σ) has a uniform canonical flag if <strong>and</strong> only if for all x 0 ∈ X, there is a<br />

coordinate neighborhood of x 0 , (V x 0,x), such that in those coordinates the restriction of (Σ)<br />

to V x 0 can be written as<br />

where ∂h<br />

∂x1<br />

⎧<br />

⎪⎨<br />

⎪⎩<br />

y = h(x1,u)<br />

˙x1 = f1(x1,x2,u)<br />

˙x2 = f2(x1,x2,x3,u)<br />

.<br />

˙xn−1 = fn−1(x1,x2, ..., xn,u)<br />

˙xn = fn(x1,x2, ..., xn,u)<br />

∂fi <strong>and</strong> ∂xi+1 , i =1, ..., n − 1, never equal zero on Vx0 × Uadm.<br />

(2.4)<br />

As was the case for the form (2.2) of the previous section, a system under the form (2.4)<br />

is infinitesimally observable, observable <strong>and</strong> differentially observable of order n. Therefore<br />

if a system (Σ) has a uniform canonical flag then when restricted to neighborhoods of the<br />

form Vx0 × Uadm<br />

an be<br />

summarized in t<br />

Existence of a<br />

uniform<br />

canonical flag<br />

Existence of a<br />

normal form<br />

(restricted to a<br />

neighborhood)<br />

Observability<br />

(i e uniform<br />

infinitesimal<br />

observability)<br />

Figure 2.1: Observability Equivalence Diagram.<br />

Infinitesimal observability still needs to be related to the normal form (2.4) in order to<br />

obtain a complete equivalence diagram. This is done with a second theorem.<br />

Theorem 10 ([38], Pg 24-25)<br />

If (Σ) is uniformly infinitesimally observable, then, on the complement of a sub-analytic<br />

subset of X of co-dimension 1, (Σ) has a uniform canonical flag.<br />

The combination of those two theorems closes the Diagram 2.1 which means that the<br />

normal form (2.4) characterizes uniform infinitesimal observability.<br />

In the control affine case, the situation above can be rewritten in a stronger way. We<br />

first recall that such a control affine system is<br />

⎧<br />

p�<br />

⎪⎨<br />

˙x = f(x)+ gi(x)ui<br />

(2.5)<br />

⎪⎩<br />

i=1<br />

y = h(x).<br />

17

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