Abstract
Finite-dimensional filters for integrals and stochastic integrals of moments of the state for continuous-time nonlinear systems with Benes nonlinearity are derived. These new filters can be used with the expectation maximization (EM) algorithm to compute maximum likelihood estimates of the model parameters.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1929-1933 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 44 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 1999 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
Keywords
- Beneš filter
- Expectation maximization algorithm
- Finite-dimensional filters
- Parameter estimation
- stochastic systems
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