Hybrid transition density approximation for efficient recursive prediction of nonlinear dynamic systems

IPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks

Volumn , Issue , 2007, Pages 283-292

  Huber, Marco F ^a   Hanebeck, Uwe D ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

Hybrid density; Nonlinear prediction; Probability density approximation; Recursive bayesian estimation

Indexed keywords

APPROXIMATION THEORY; BAYESIAN NETWORKS; INFORMATION FUSION; NONLINEAR SYSTEMS; PROBABILITY DENSITY FUNCTION; RECURSIVE FUNCTIONS; SCHEDULING;

GAUSSIAN DENSITIES; NONLINEAR PREDICTION; PROBABILITY DENSITY APPROXIMATION; RECURSIVE BAYESIAN ESTIMATION;

DYNAMICAL SYSTEMS;

EID: 35348914822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1236360.1236398     Document Type: Conference Paper

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