Difference between revisions of "Errata: sign errors in Example 5.18 (noise cancellation)"
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| Line 14: | Line 14: | ||
<center><math> | <center><math> | ||
\frac{dx_1}{dt} = a_0 (z - w) + (a - a_0) w + (b - b_0) n | \frac{dx_1}{dt} = a_0 (z - w) + (a - a_0) w + (b - b_0) n | ||
| − | = a_0 x_1 {\color{red} \boldsymbol{-}} x_2 w {\color{ | + | = a_0 x_1 {\color{red} \boldsymbol{-}} x_2 w {\color{blue}-} x_3 n. |
</math></center> | </math></center> | ||
| (5.26) | | (5.26) | ||
Revision as of 00:43, 27 November 2024
| Chapter | Dynamic Behavior |
|---|---|
| Page | 5-34 |
| Line | 8 |
| Version | 3.1.5 |
| Date | 26 Nov 2024 |
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
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(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
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(5.27) |
we find that , and it follows that the quadratic function will decrease as long as .