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Nonlinear Control Sy.. - Free

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100 CHAPTER 3. LYAPUNOV STABILITY I. AUTONOMOUS SYSTEMS<br />

Neglecting the higher-order terms (HOTs) and recalling that, by assumption, f (xe) = 0,<br />

we have that<br />

r<br />

d (x) = (Xe)(x - xe). (3.24)<br />

C72<br />

Now defining<br />

x = x - xe1 A =f (Xe) (3.25)<br />

we have that X = i, and moreover<br />

Ate. (3.26)<br />

We now whether it is possible to investigate the local stability of the nonlinear system<br />

(3.23) about the equilibrium point xe by analyzing the properties of the linear time-invariant<br />

system (3.26). The following theorem, known as Lyapunov's indirect method, shows that if<br />

the linearized system (3.26) is exponentially stable, then it is indeed the case that for the<br />

original system (3.23) the equilibrium xe is locally exponentially stable. To simplify our<br />

notation, we assume that the equilibrium point is the origin.<br />

Theorem 3.11 Let x = 0 be an equilibrium point for the system (3.23). Assume that f is<br />

continuously differentiable in D, and let A be defined as in (3.25). Then if the eigenvalues<br />

) of the matrix A satisfy ate(.\a) < 0, the origin is an exponentially stable equilibrium point<br />

for the system (3.23).<br />

The proof is omitted since it is a special case of Theorem 4.7 in the next chapter (see Section<br />

4.5 for the proof of the time-varying equivalent of this result).<br />

3.11 Instability<br />

So far we have investigated the problem of stability. All the results seen so far are, however,<br />

sufficient conditions for stability. Thus the usefulness of these results is limited by our<br />

ability to find a function V(.) that satisfies the conditions of one of the stability theorems<br />

seen so far. If our attempt to find this function fails, then no conclusions can be drawn with<br />

respect to the stability properties of the particular equilibrium point under study. In these<br />

circumstances it is useful to study the opposite problem, namely; whether it is possible to<br />

show that the origin is actually unstable. The literature on instability is almost as extensive<br />

as that on stability. Perhaps the most famous and useful result is a theorem due to Chetaev<br />

given next.<br />

Theorem 3.12 (Chetaev) Consider the autonomous dynamical systems (3.1) and assume<br />

that x = 0 is an equilibrium point. Let V : D -+ IR have the following properties:

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