Loading...
Please wait, while we are loading the content...
Similar Documents
A regression approach for simulating feedforward active noise control
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ruckman, Christopher E. Fuller, Chris R. |
| Copyright Year | 1995 |
| Abstract | Regression analysis is used to examine feedforward active noise control from a statistical point of view. Since numerical techniques for simulating feedforward active noise control in the frequency domain are mathematically similar to linear least‐squares regression, two regression‐based numerical methods can be applied to control problems. The first uses regression diagnostics such as the F‐test, the t‐test, and confidence intervals to model the effects of error sensor measurement noise. The second uses collinearity diagnostics to address a form of numerical ill conditioning that can corrupt the results. The regression diagnostics allow realistic modeling of random measurement error; the collinearity diagnostics help avoid numerical difficulties that might otherwise go undetected. Numerical results are given for a structural‐acoustic control problem involving a fluid‐loaded cylindrical shell. |
| Starting Page | 2906 |
| Ending Page | 2918 |
| Page Count | 13 |
| File Format | PDF HTM / HTML |
| DOI | 10.1121/1.411857 |
| Volume Number | 97 |
| Alternate Webpage(s) | https://vtechworks.lib.vt.edu/bitstream/handle/10919/52693/1995_Regression_approach_simulating.pdf;jsessionid=7A82FB95B0C7DB85319D0F7EB4F78C5C?sequence=1 |
| Alternate Webpage(s) | https://doi.org/10.1121/1.411857 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
