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) |
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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