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 - x_2 w - x_3 n. | + | = a_0 x_1 {\color{red}-} x_2 w {\color{red}-} x_3 n. |
</math></center> | </math></center> | ||
| (5.26) | | (5.26) | ||
| Line 26: | Line 26: | ||
<center><math> | <center><math> | ||
\dot V = \alpha x_1 \dot x_1 + x_2 \dot x_2 + x_3 \dot x_3 | \dot V = \alpha x_1 \dot x_1 + x_2 \dot x_2 + x_3 \dot x_3 | ||
| − | = \alpha a_0 x_1^2 + x_2 (\dot x_2 - \alpha w x_1) + x_3 (\dot x_3 - | + | = \alpha a_0 x_1^2 + x_2 (\dot x_2 {\color{red}-} \alpha w x_1) + x_3 (\dot x_3 {\color{red}-} |
\alpha n x_1). | \alpha n x_1). | ||
</math></center> | </math></center> | ||
| Line 34: | Line 34: | ||
| | | | ||
<center><math> | <center><math> | ||
| − | \dot a = \dot x_2 = \alpha w x_1 = \alpha w e,\qquad | + | \dot a = \dot x_2 = {\color{red}+} \alpha w x_1 = {\color{red}+} \alpha w e,\qquad |
| − | \dot b =\dot x_3 = \alpha n x_1 = \alpha n e, | + | \dot b =\dot x_3 = {\color{red}+} \alpha n x_1 = {\color{red}+} \alpha n e, |
</math></center> | </math></center> | ||
| (5.27) | | (5.27) | ||
Revision as of 00:39, 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
|
|
(5.27) |
we find that , and it follows that the quadratic function will decrease as long as .