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Nonlinear Control Sy.. - Free

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11.2. NONLINEAR OBSERVABILITY 297<br />

Theorem 11.1 The state space realization (11.14) is locally observable in a neighborhood<br />

Uo C D containing the origin, if<br />

Vh<br />

rank = n dx E Uo<br />

VLf 'h<br />

Proof: The proof is omitted. See Reference [52] or [36].<br />

The following example shows that, for linear time-invariant systems, condition (11.15)<br />

is equivalent to the observability condition (11.7).<br />

Example 11.1 Let<br />

= Ax<br />

y = Cx.<br />

Then h(x) = Cx and f (x) = Ax, and we have<br />

Vh(x) = C<br />

VLfh = V(- ) = V(CAx) = CA<br />

VLf-1h =<br />

CAn-1<br />

and therefore '51 is observable if and only if S = {C, CA, CA2, . . , CAn-1 } is linearly independent<br />

or, equivalently, if rank(O) = n.<br />

Roughly speaking, definition 11.4 and Theorem 11.1 state that if the linearization<br />

of the state equation (11.13) is observable, then (11.13) is locally observable around the<br />

origin. Of course, for nonlinear systems local observability does not, in general, imply<br />

global observability.<br />

We saw earlier that for linear time-invariant systems, observability is independent<br />

of the input function and the B matrix in the state space realization. This property is a<br />

consequence of the fact that the mapping xo --1 y is linear, as discussed in Section 11.2.<br />

<strong>Nonlinear</strong> systems often exhibit singular inputs that can render the state space realization<br />

unobservable. The following example clarifies this point.<br />

Example 11.2 Consider the following state space realization:<br />

-k1 = x2(1 - u)<br />

0.1 x2 = x1<br />

y = xl

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