Cited By
View all- Karthik PSundaresan R(2020)Learning to Detect an Odd Markov ArmIEEE Transactions on Information Theory10.1109/TIT.2020.297287566:7(4324-4348)Online publication date: 1-Jul-2020
Many nonlinear extensions of the Kalman filter, e.g., the extended and the unscented Kalman filter, reduce the state densities to Gaussian densities. This approximation gives sufficient results in many cases. However, these filters only estimate states ...
State of charge (SOC) is a key parameter in battery management and vehicle energy management. In recent years, there are problems in the SOC estimation method for electric vehicle(EV) lithium-ion batteries, such as the battery model is too simple, and ...
To overcome the resulting problems of existing finite impulse response (FIR) structure filters, this paper proposes an alternative FIR filter for state estimation in discrete-time systems, which is derived from the well-known Kalman filter with ...
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