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Nonlinear Control Sy.. - Free

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264 CHAPTER 10. FEEDBACK LINEARIZATION<br />

The following result, known as the Frobenius theorem, will be very important in later sections.<br />

Theorem 10.1 (Frobenius Theorem) Let fl, f2i , fp be a set of linearly independent vector<br />

fields. The set is completely integrable if and only if it is involutive.<br />

Proof: the proof is omitted. See Reference [36].<br />

Example 10.7 [36] Consider the set of partial differential equations<br />

or<br />

with<br />

which can be written as<br />

Oh<br />

2x3<br />

Oh<br />

= 0<br />

C7x1 - 8x2<br />

Oh 8h i9h<br />

-x1-- -2x2a2 +x3ax 3<br />

2x3 -X<br />

8h 8h oh -1 -2X2 I =<br />

Vh[f1 f2]<br />

0 x3<br />

2X3 -xl<br />

fl = -1 , f2 = -2x2<br />

0 x3<br />

= 0<br />

To determine whether the set of partial differential equations is solvable or, equivalently,<br />

whether [fl, f2] is completely integrable, we consider the distribution A defined as follows:<br />

2x3 -xl<br />

= span -1 , -2X2<br />

0 x3<br />

It can be checked that A has dimension 2 everywhere on the set D defined by D = {x E IIF3<br />

xi + x2 # 0}. Computing the Lie bracket [fl, f2], we obtain<br />

(fl,<br />

-4x3<br />

fz] = 2<br />

0<br />

0

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