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Nonlinear Control Sy.. - Free

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10.4. CONDITIONS FOR INPUT-STATE LINEARIZATION 273<br />

To verify that (10.23)-(10.24) we proceed as follows:<br />

aT2<br />

9(x) = [0<br />

so that (10.23) is satisfied. Similarly<br />

ax1( )<br />

0<br />

=<br />

1 0] 0 u 0<br />

39(x) = m,(1µ+ix1)<br />

provided that x3 # 0. Therefore all conditions are satisfied in D = {x E R3 : X3 # 0}. The<br />

coordinate transformation is<br />

The function q and w are given by<br />

xl<br />

T = X2<br />

k<br />

g mx2<br />

(aT3/ax)f(x)<br />

w(x) _ 0 g(x) O(x)<br />

ax (aT3/ax)g(x)<br />

10.4 Conditions for Input-State Linearization<br />

In this section we consider a system of the form<br />

0<br />

± = f(x) + g(x)u (10.28)<br />

where f , g : D -+ R' and discuss under what conditions on f and g this system is input-state<br />

linearizable.<br />

Theorem 10.2 The system (10.28) is input-state linearizable on Do C D if and only if<br />

the following conditions are satisfied:<br />

(i) The vector fields {g(x), adfg(x), , ad f-lg(x)} are linearly independent in Do.<br />

Equivalently, the matrix<br />

has rank n for all x E Do.<br />

aµx2<br />

2m(l+µxi)<br />

C = [g(x), adfg(x),... adf-lg(x)]nxn

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