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Nonlinear Control Sy.. - Free

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3.8. THE INVARIANCE PRINCIPLE<br />

Step 3: Find V:<br />

V(x) = VV f(x)<br />

= 9(x) f(x)<br />

= [hix1, h2x2]f (x)<br />

= -ahixi +h2 (b + xlx2)x2.<br />

Step 4: Find V from VV by integration. Integrating along the axes, we have that<br />

Step 5:<br />

JO<br />

x1<br />

hiss dsl +<br />

V(x) = I hix2 + 1 h2x2<br />

V(x) -ahixi+h2(b+xlx2)x2<br />

From (3.9), V (x) > 0 if and only if hi, h2 > 0. Assume then that hi = h2 = 1. In this case<br />

V(x) = -axe + (b+x1x2)x2<br />

assume now that a > 0, and b < 0. In this case<br />

V(x) = -axi - (b - x1x2)x2<br />

and we conclude that, under these conditions, the origin is (locally) asymptotically stable.<br />

3.8 The Invariance Principle<br />

i<br />

1<br />

x1<br />

1 2<br />

2h1x1<br />

91(sl, 0) dsl +<br />

1 2X2 + 2h2x2.<br />

Verify that V > 0 and V < 0. we have that<br />

fx2<br />

92(x1, s2) ds2<br />

0<br />

X2<br />

h2s2 ds2<br />

10<br />

Asymptotic stability is always more desirable that stability. However, it is often the case<br />

that a Lyapunov function candidate fails to identify an asymptotically stable equilibrium<br />

point by having V (x) negative semi definite. An example of this is that of the pendulum<br />

with friction (Example 3.5). This shortcoming was due to the fact that when studying the<br />

85

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