Global ETD Search
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Showing 1 to 5 of 5 for “"Extended Kalman filtering (EKF)"”.
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Analytical SLAM without linearization
… the algorithm uses a linear time-varying (LTV) Kalman observer, bypassing errors and approximations brought by the linearization process in traditional extended Kalman filtering (EKF) SLAM. Convergence rates of the algorithm are established using contraction analysis. Different combinations of …
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PREDICTION AND CLOSED-LOOP CONTROL OF BLOOD PRESSURE FOR HEMORRHAGE RESUSCITATION
… itself to different subjects using extended Kalman filtering (EKF), to account for high inter-subject variability, before accurately forecasting future blood pressure. The second method is an observer-based feedback controller which regulates blood pressure from a hypotensive state …
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Parameter estimation for single-phase induction motor from transient measurements
… parameter. This is achieved using recursive extended Kalman filtering (EKF) after augmenting the motor state vector with a constant capacitance state. EKF recursively linearizes the augmented system and estimates the full augmented state vector. The last two proposed algorithms only need to …
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NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure
… Advanced techniques are explored, such as extended Kalman filtering, to identify the challenges associated with analysis of multi-cell battery modules. Energy-recycling hardware is developed that is capable of efficiently cycling energy to and from cells connected in a series configuration. …
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Optimization and State Estimation of Li Ion Cells Using Single Particle Model
… generate synthetic data. Afterwards, nonlinear Filtering approaches including Extended Kalman Filtering (EKF) and Unscented Kalman Filtering (UKF) were applied to predict the true SOC and the electrodes¡¯ degradation, by minimizing the measurement residuals between the model prediction and the …