103 search results - page 4 / 21 » An EM Algorithm for Nonlinear State Estimation With Model Un... |
ACIIDS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
NECO
2010
13 years 6 months ago
2010
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
NIPS
1996
13 years 9 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
ICAISC
2004
Springer
14 years 1 months ago
2004
Springer
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...