Neural network-based state fusion and adaptive tracking for maneuvering targets

DOI10.1016/J.CNSNS.2003.10.002zbMath1070.93045OpenAlexW2082875636MaRDI QIDQ1765135

Zhong-Liang Jing

Publication date: 23 February 2005

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2003.10.002

zbMATH Keywords

targetsadaptive filteringneural networkadaptive trackingstate fusion

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (2)

Adaptive genetic MM-CPHD filter for multitarget tracking ⋮ Unscented fuzzy-controlled current statistic model and adaptive filtering for tracking maneuvering targets

Cites Work

• Tracking and data association
• The interacting multiple model algorithm for systems with Markovian switching coefficients
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