In Example 5.18 (noise cancellation), there are two sign errors in equation (5.26) that are propagated through the next several lines. The corrected text should read (with changes in red):
Assuming for simplicity that , introduce , , and . Then
Failed to parse (unknown function "\hfill"): {\displaystyle \hfill \frac{dx_1}{dt} = a_0 (z - w) + (a - a_0) w + (b - b_0) n = a_0 x_1 - x_2 w - x_3 n. \hfill (5.26) }
We will achieve noise cancellation if we can find a feedback law for changing the parameters and so that the error goes to zero. To do this we choose
as a candidate Lyapunov function for
equation (5.26). The derivative of is
Choosing
Failed to parse (unknown function "\label"): {\displaystyle \dot a = \dot x_2 = \alpha w x_1 = \alpha w e,\qquad \dot b =\dot x_3 = \alpha n x_1 = \alpha n e, \label{ex:dynamics:noisecancu} }
we find that , and it follows that the
quadratic function will decrease as long as .