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Nonlinear Control Sy.. - Free

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272 CHAPTER 10. FEEDBACK LINEARIZATION<br />

which is of the form i = j (x) + g(x)u. To find a feedback linearizing law, we seek a<br />

transformation T = [T1 T2 T3]T such that<br />

with<br />

a<br />

5g(x) l = 0 (10.22)<br />

2 g ( x) = 0 ( 10 . 23 )<br />

2 ( ) 0 (10 . 24 )<br />

g x<br />

1f(x) = T2<br />

a 1(X) 2 = T's a 2 AX) = -q(x)w(x).<br />

[]<br />

Equation (10.22) implies that<br />

0<br />

0r1+ i)<br />

c711<br />

8x3 ) = 0<br />

A<br />

1+µxi<br />

(10.25)<br />

(10.26)<br />

(10.27)<br />

so T1 is not a function of x3. To proceed we arbitrarily choose T1 = x1. We will need to<br />

verify that this choice satisfies the remaining linearizing conditions (10.22)-(10.27).<br />

Equation (10.25) implies that<br />

ax 1(X) = T2 = [1 0 011(X) = T2<br />

and thus T2 = x2. We now turn to equation (10.26). We have that<br />

and substituting values, we have that<br />

af(x)=T3<br />

2<br />

k aµx3<br />

T3 =g-mx2 2m1+<br />

(<br />

{tx1)2.

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