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Nonlinear Control Sy.. - Free

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332 APPENDIX A. PROOFS<br />

Assume now that conditions (i) and (ii) of Theorem 10.2 are satisfied. By the Frobenius<br />

theorem, there exist Tl (x) satisfying<br />

L9T1(x) = LadfgTl = ... = Lad,._2gT1 = 0<br />

and taking into account the Jacobi identity, this implies that<br />

but then we have that<br />

L9T1(x) = L9L fT1(x) _ ... = L9L' -2Ti (x) = 0<br />

VT1(x)C=OT1(x)[9, adf9(x), ..., adf-lg(x)] = [0, ... 0, Ladf-19Ti(x)]<br />

The columns of the matrix [g, adfg(x), , adf-lg(x)] are linearly independent on Do<br />

and so rank(C) = n, by condition (i) of Theorem 10.2, and since VT1(x) # 0, it must be<br />

true that<br />

adf-19Ti(x) 0<br />

which implies, by the Jacobi identity, that<br />

Proof of theorem 10.3:<br />

LgL fn-1T1(x) 4 0.<br />

The proof of Theorem 10.3 requires some preliminary results. In the following lemmas<br />

we consider a system of the form<br />

f x = f (x) + g(x)u, f, g : D C R" - Rn<br />

Sl<br />

y=h(x), h:DClg"->R<br />

and assume that it has a relative degree r < n.<br />

Lemma A.1 If the system (A.69) has relative degree r < n in S2, then<br />

VxEc, Vj0.<br />

k - f 0<br />

Lad)fgLfh(x) t (-1) L9Lf lh(x) 54 0<br />

Proof: We use the induction algorithm on j.<br />

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