176 search results - page 7 / 36 » State estimation of nonlinear systems with Markov state rese... |
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract--In this paper, we propose a decentralized sensor network scheme capable to reach a globally optimum maximum-likelihood (ML) estimate through self-synchronization of nonli...
NIPS
1998
13 years 9 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
AAAI
2011
12 years 7 months ago
2011
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
AUTOMATICA
2010
13 years 7 months ago
2010
: In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate all the parameters of a polynomial nonlinear sta...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper investigates the problem of causal observability of the states and unknown inputs of nonlinear time-delay systems. Using the theory of non-commutative rings, the nonline...