Titlebook: Kalman Filtering and Information Fusion; Hongbin Ma,Liping Yan,Mengyin Fu Book 2020 Science Press 2020 Kalman filter.information fusion.un

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niques and a wealth of novel results.Can serve as either a rThis book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertain

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Decentralized Adaptive Filtering for Multi-agent Systems with Uncertain Couplingsralized adaptive filtering algorithms are designed for the purpose of estimation of the unknown states and couplings which denotes the relations between agents and their neighbor agents in terms of states or outputs simultaneously, with preliminary stability analysis and discussions.

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Modified Kalman Filter with Recursive Covariance Estimation for Gyroscope DenoisingThe precision of inertial navigation system (INS) mainly depends on the precision of inertial devices, among which a kernel device, gyroscope, is of fundamental importance.

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