Towards a Useful Approximation of the Optimal Recursive Parameter Estimator
dc.contributor.author | Wiberg, D. M. | en_US |
dc.contributor.author | Ljungquist, D. | en_US |
dc.contributor.author | Powell, T. D. | en_US |
dc.contributor.department | ISR | en_US |
dc.date.accessioned | 2007-05-23T09:56:24Z | |
dc.date.available | 2007-05-23T09:56:24Z | |
dc.date.issued | 1994 | en_US |
dc.description.abstract | A recursive parameter estimator in discrete time is presented for multiple-input, multiple-output linear stochastic systems that are bilinear in the parameters and state. It is globally convergent to minima of the asymptotic negative log likelihood function, and approximates the fast transient response of the optimal nonlinear filter used as a parameter estimator. | en_US |
dc.format.extent | 870576 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/5503 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; TR 1994-23 | en_US |
dc.subject | parameter estimation | en_US |
dc.subject | nonlinear filtering | en_US |
dc.subject | recursive estimation | en_US |
dc.subject | system identification | en_US |
dc.subject | optimal estimation | en_US |
dc.subject | estimation theory | en_US |
dc.subject | global convergence | en_US |
dc.subject | Systems Integration | en_US |
dc.title | Towards a Useful Approximation of the Optimal Recursive Parameter Estimator | en_US |
dc.type | Technical Report | en_US |
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