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• W3214010597 abstract "Summary In this paper, stochastic stability of a decentralized Kalman filter (DKF) for nonlinear systems and a bound on the sum of square of predicted estimation error are examined of a single node. A Lyapunov analysis approach is used to show that the predicted estimation error of the nonlinear DKF is stochastically stable and exponentially bounded in mean square, if the system is observable, controllable and the initial estimation error is bounded. Moreover, it is validated by the numerical simulations. The numerical results show that the sum of square of the predicted estimation error is bounded above." @default.
• W3214010597 created "2021-11-22" @default.
• W3214010597 creator A5017665857 @default.
• W3214010597 creator A5041319327 @default.
• W3214010597 date "2021-11-07" @default.
• W3214010597 modified "2023-10-10" @default.
• W3214010597 title "Stochastic stability of decentralized Kalman filter for nonlinear systems" @default.
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• W3214010597 doi "https://doi.org/10.1002/acs.3348" @default.
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