ModelDB: Models that contain unscented Kalman filter

Model Concept: unscented Kalman filter

The unscented Kalman filter to estimate nonlinear systems is an extension to the linear systems Kalman filter method http://en.wikipedia.org/wiki/Kalman_filter.

Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)

Top authors for unscented Kalman filter:

Top concepts studied with unscented Kalman filter:

Top references cited by these models:

Tamakawa Y, Karashima A, Koyama Y, Katayama N, Nakao M. (2006). A quartet neural system model orchestrating sleep and wakefulness mechanisms. Journal of neurophysiology. 95 (1)
Kalman RE. (1960). A new approach to linear filtering and prediction problems Trans ASME J Basic Eng. 82 (1)
Behn CG, Brown EN, Scammell TE, Kopell NJ. (2007). Mathematical model of network dynamics governing mouse sleep-wake behavior. Journal of neurophysiology. 97 (1)
McCarley RW, Hobson JA. (1975). Neuronal excitability modulation over the sleep cycle: a structural and mathematical model. Science (New York, N.Y.). 189 (1)
Borbély AA. (1982). A two process model of sleep regulation. Human neurobiology. 1 (1)

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