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Quantitative Analysis of Non-Linear Probabilistic State Estimation Filters for Deployment on Dynamic Unmanned Systems

McLoughlin, BLiverpool John Moores University2020

… implementation of probabilistically orientated state estimation algorithms with focus towards unmanned system positioning and three-dimensional (3D) mapping. State estimation algorithms are considered an influential aspect of any dynamic system with autonomous capabilities. Possessing the …

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State Estimation in Active Distribution Systems: Comparison Between Weighted Least Squares and Extended Kalman Filter Algorithms

Watitwa, Jeff KimasereDepartment of Electrical Engineering2022

… Management Systems (DMS). Distribution System State Estimation (DSSE) is a crucial component in DMS. DSSE is the process of obtaining the nodal voltage magnitude and its respective phasor angle in real-time by utilizing available recorded measurements and the parameters from the network …

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DYNAMIC MODEL BASED STATE ESTIMATION IN A HEAVY DUTY DIESEL AFTERTREATMENT SYSTEM FOR ONBOARD DIAGNOSTICS AND CONTROLS

Surenahalli, Harsha S.

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