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• W2783299225 abstract "State estimation under imperfect observations is a highly realistic and practically significant problem. These imperfections often manifest themselves in various forms, such as partial/total packet losses, and multiplicative degradation in sensor performance, making estimator design for such systems challenging. A method to find the minimum mean squared error estimate for such systems is presented in this paper, based on an equivalent Markovian Jump Linear System (M-JLS) modeling of the system under consideration. The estimation problem for the M-JLS is then solved using a projection based approach, and the corresponding modified Riccati equation is derived. An illustrative example is then presented for sensor malfunctions in a vehicle-to-vehicle communication channel for autonomous cars operating in a single lane." @default.
• W2783299225 created "2018-01-26" @default.
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• W2783299225 date "2017-12-01" @default.
• W2783299225 modified "2023-09-27" @default.
• W2783299225 title "Optimal state estimation for LTI systems with imperfect observations" @default.
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• W2783299225 doi "https://doi.org/10.1109/cdc.2017.8264065" @default.
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