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120 CHAPTER 4. LYAPUNOV STABILITY II: NONAUTONOMOUS SYSTEMS<br />

or<br />

W(x,t) = -xTQ(t)xT<br />

where we notice that Q(t) is symmetric by construction. According to theorem 4.2, if Q(t)<br />

is positive definite, then the origin is uniformly asymptotically stable. This is the case if<br />

there exist k3, k4 E 1(P+ such that<br />

k3xTx < xTQ(t)x < k4xTx Vt > 0,Vx E IRT.<br />

Moreover, if these conditions are satisfied, then<br />

k3IIxII2 < Q(t) < k4IIxII2 Vt > 0,Vx E Rn<br />

and then the origin is exponentially stable by Theorem 4.4.<br />

Theorem 4.6 Consider the system (4.25). The equilibrium state x = 0 is exponentially<br />

stable if and only if for any given symmetric, positive definite, continuous, and bounded matrix<br />

Q(t), there exist a symmetric, positive definite, continuously differentiable, and bounded<br />

matrix P(t) such that<br />

Proof: See the Appendix.<br />

4.5.1 The Linearization Principle<br />

-Q(t) = P(t)A(t) + AT(t)p(t) + P(t). (4.29)<br />

Linear time-varying system often arise as a consequence of linearizing the equations of a<br />

nonlinear system. Indeed, given a nonlinear system of the form<br />

x = f (x, t) f : D x [0, oo) -> R' (4.30)<br />

with f (x, t) having continuous partial derivatives of all orders with respect to x, then it is<br />

possible to expand f (x, t) using Taylor's series about the equilibrium point x = 0 to obtain<br />

X = f (x, t) = f (0, t) + of Ix-o x + HOT<br />

where HOT= higher-order terms. Given that x = 0 is an equilibrium point, f (0, t) = 0,<br />

thus we can write<br />

or<br />

f(x,t) N Of x=O<br />

x = A(t)x + HOT (4.31)

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