Systems theory; control Definition
Volterra series
Builds on ConvolutionLp spaceTaylor series
Definition
Let and, for each , let be an integrable function, the -th Volterra kernel. Assume that for some . For a bounded measurable input with , the Volterra series with these kernels gives the output The -th term is bounded by , so the series converges absolutely and uniformly in .
Remarks
The operator is causal, since depends only on for , and time-invariant, since shifting in time shifts by the same amount. The kernels can be taken symmetric in their variables without changing . If only is nonzero, is a convolution, the output of a linear system with impulse response . Some authors also allow kernels with delta functions, or integrals over all of for noncausal systems.
Example: let and . Then by Fubini's theorem. So is a Volterra series with , of norm , and all other kernels .
Non-example: the system is not given by any Volterra series, because it is not time-invariant. The input gives , which is not constant, while a Volterra series maps a constant input to a constant output.
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Convolution concept
- Lp space concept
- Taylor series concept
- Volterra series definition
Further reading
About this page
| Tag | 47KD8V5A7G |
|---|---|
| URI | m2://47KD8V5A7G |
| Kind | definition |
| Writing | W0 stub |
| MSC | 93C10, 45G10 |
| Defines | Volterra series |
| Uses | Convolution, Lp space, Taylor series |
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