An improved unscented Kalman filter for discrete nonlinear systems with random parameters

DOI10.1155/2017/7905690zbMath1368.93731OpenAlexW2590203110WikidataQ59143280 ScholiaQ59143280MaRDI QIDQ2398749

Zhijian Qiu, Xiaomei Qu, Yue Wang

Publication date: 21 August 2017

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/7905690

zbMATH Keywords

discrete nonlinear dynamic systemsimproved unscented transformationmobile source localizationnonlinear systems with random parametersnonlinear unscented Kalman filtering

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Signal detection and filtering (aspects of stochastic processes) (60G35)

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Cites Work

• Optimal estimation of linear discrete-time systems with stochastic parameters
• Parameter identification of a cohesive crack model by Kalman filter
• The nonsequential fusion method for localization from unscented Kalman filter by multistation array buoys
• Adaptive Kalman estimation in target tracking mixed with random one-step delays, stochastic-bias measurements, and missing measurements
• Stochastic processes and filtering theory
• A Systematization of the Unscented Kalman Filter Theory
• Semidefinite Programming Approach for Range-Difference Based Source Localization
• Some Relations Between Extended and Unscented Kalman Filters
• Kalman Filtering With Intermittent Observations

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