Adaptative high-gain extended Kalman filter and applications
Adaptative high-gain extended Kalman filter and applications
Adaptative high-gain extended Kalman filter and applications
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tel-00559107, version 1 - 24 Jan 2011<br />
B.1 Bounds on the Riccati Equation<br />
In the same manner as in Lemma 78 we conclude that for all τk ≤ T∗, k ∈ N:<br />
�<br />
|Pk(+)| ≤ |P0| + |Q|<br />
�<br />
e<br />
2s<br />
2sT∗ = 1<br />
.<br />
Therefore Pk(+) ≤ 1<br />
α1 Id, for all τk ≤ T∗, k ∈ N, for all subdivisions {τi}i∈N.<br />
Equivalently, from matrix fact 3.(c): α1Id ≤ Sk(+).<br />
We now proceed with the proof of the second part of this subsection. We need a different<br />
set of tools than the one used in the preceding section. It is a series of lemmas adapted from<br />
[57]. As we will see, in addition to the proof of the existence of a lower bound for S, we also<br />
prove that it is a symmetric positive definite matrix for all times.<br />
Lemma 90<br />
For any λ ∈ R ∗ , any solution S : [0,T[→ Sm (Possibly, T =+∞) of<br />
we have for all τ ∈ [0,T[:<br />
dS<br />
dτ<br />
S(τ) =e−λτ φu(τ, 0)S0φ ′<br />
u(τ, 0)<br />
� τ<br />
+λ<br />
0<br />
α1<br />
= −A′ (τ)S − SA(τ) − SQS,<br />
e −λ(τ−v) �<br />
φu(τ,v) S(v) − S(v)QS(v)<br />
�<br />
φ<br />
λ<br />
′<br />
u(τ,v)dv<br />
where φu(τ,s) is such that: � dφu(τ,s)<br />
dτ = −A ′<br />
(τ)φu(τ,s),<br />
φu(s, s) = Id.<br />
(B.11)<br />
Remark 91<br />
Notice that S(τ) is not λ-dependent. This latter scalar is used only to provide us with a<br />
convenient way to express S(τ).<br />
Proof.<br />
Let us consider an equation of the form<br />
φu(τ,s) denotes the resolvent of the system dx<br />
dτ<br />
d<br />
Λ(τ) =−A′ Λ(τ) − Λ(τ)A + F (τ). (B.12)<br />
dτ<br />
dφu(τ,s)<br />
= −A′ x:<br />
dτ = −A ′<br />
φu(τ,s),<br />
φu(s, s) = Id.<br />
We search for a solution of the formΛ( τ) =φu(τ,s)h(τ)φ ′<br />
u(τ,s).<br />
dΛ<br />
dτ = � d<br />
dτ φu(τ,s) � h(τ)φ ′<br />
�<br />
d<br />
u(τ,s)+φu(τ,s)h(τ) dτ φ′<br />
�<br />
u(τ,s)<br />
= −A ′<br />
φu(τ,s)h(τ)φ ′<br />
u(τ,s) − φu(τ,s)h(τ)φ ′<br />
+φu(τ,s) � d<br />
dτ h(τ)� φ ′<br />
u(τ,s)A(τ)<br />
= −A ′<br />
Λ(τ) − Λ(τ)A + φu(τ,s) � d<br />
dτ h(τ)� φ ′<br />
u(τ,s),<br />
144<br />
+φu(t, s) � d<br />
dτ h(τ)� φ ′<br />
u(τ,s)<br />
u(τ,s)