Anticipative grid design in point-mass approach to nonlinear state estimation

IEEE Transactions on Automatic Control

Volumn 47, Issue 4, 2002, Pages 699-702

  Šimandl, Miroslav ^a   Královec, Jakub ^a   Söderström, Torsten ^b  

^a UNIVERSITY OF WEST BOHEMIA   (Czech Republic)

^b UPPSALA UNIVERSITY   (Sweden)

Author keywords

Nonlinear filters; Probability; State estimation; Stochastic systems

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATIONAL METHODS; NONLINEAR FILTERING; STOCHASTIC CONTROL SYSTEMS;

NONLINEAR STATE ESTIMATIONS;

STATE ESTIMATION;

EID: 0036530984     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/9.995053     Document Type: Article

References (10)

1. Recursive estimation for nonlinear dynamic systems
2. State estimation for non-Gaussian models
3. On the development of practical nonlinear filters
4. Recursive nonlinear estimation
5. Sequential Monte Carlo methods for dynamic systems
6. On the nonlinear and nonnormal filter using rejection Sampling
7. Digital synthesis of nonlinear filters
8. Recursive Bayesian estimation using piece-wise constant approximations
9. Aspects of point-mass approach and grid design