The localization of objects equipped with passive UHF RFID labels using the Received Signal Strength Indicator (RSSI) values is investigated. An Unscented Kalman Filter (UKF) is used for the localization of the object. Adding (N-1) additional tags with known relative position to the object (relative to its main tag), this information can be incorporated into the UKF resulting in an Unscented Ka...

Orbit determination in application to the estimation of impact probability has the goal of determining the evolution of the state probability density function (pdf) and determining a measure of the probability of collision. Nonlinear gravitational interaction and non-conservative forces can make the pdf far from Gaussian. This work implements three nonlinear sequential estimators: the Extended ...

This article tackles the computational burden of propagating uncertainties in model predictive controller-based policy probabilistic model-based reinforcement learning (MBRL) system for an unmanned surface vehicles (USV). We proposed filtered control using unscented Kalman filter (FPMPC-UKF) that introduces (UKF) a more efficient uncertainty propagation MBRL. A USV based on FPMPC-UKF is develop...

NI-13. RESOLVING THE CHALLENGES OF PERITUMORAL EDEMA IN TRACING ARCUATE FASCICULUS FOR SURGICAL PLANNING USING TWO-TENSOR UNSCENTED KALMAN FILTER TRACTOGRAPHY Zhenrui Chen1,4, Yanmei Tie1, Lauren O’Donnell1,2, Laura Rigolo1, Alireza Mehrtash1,2, Olutayo Olubiyi1, Isaiah Norton1, Ofer Pasternak3, Yogesh Rathi3, and Alexandra Golby1,2; Department of Neurosurgery, Brigham and Women’s Hospital, Har...

This study simulates the polarization effect during process of battery charging and discharging, investigates characteristics process. A fractional-order model (FOM) is established parameters FOM are identified with adaptive genetic algorithm. As Kalman filter estimation causes error accumulation over time, using multi-innovation unscented (FOMIUKF) a better choice for state charge (SOC) estima...

State-of-charge (SOC) estimation of lithium-ion batteries (LIBs) is the basis other state estimations. However, its accuracy can be affected by many factors, such as temperature and ageing. To handle this bottleneck issue, we here propose a joint SOC-SOH method considering influence temperature. It combines Forgetting Factor Recursive Least Squares (FFRLS) algorithm, Total (TLS) Unscented Kalma...

Accurate state of charge (SOC) estimation is great significance to promote the development new energy vehicles. And a battery model’s accuracy for SOC accuracy. To this end, method based on back propagation neural network-Ant Lion Optimizer (BPNN-ALO) and unscented Kalman filter (UKF) proposed. First, 2-RC model established BPNN used fit OCV-SOC corresponding relationship. Second, ALO are combi...

To improve the tracking performance of bearings-only maneuvering target, a dynamic and adaptive multiple models (MM) algorithm is proposed in this paper, i.e., the acceleration value of each sub-model of MM structure is adjusted dynamically, unlike the traditional MM method with fixed acceleration levels, by an economic on-line self-constructing neural fuzzy inference network (SONFIN) according...

A new filtering algorithm, adaptive square root cubature Kalman filter-Kalman filter (SRCKF-KF) is proposed to reduce the problems of amount of calculation, complex formula-transform, low accuracy, poor convergence or even divergence. The method uses cubature Kalman filter (CKF) to estimate the nonlinear states of model while its linear states are estimated by the Kalman filter (KF). The simula...

Navigation employing low cost MicroElectroMechanical Systems (MEMS) sensors in Unmanned Aerial Vehicles (UAVs) is an uprising challenge. One important part of this navigation is the right estimation of the attitude angles. Most of the existent algorithms handle the sensor readings in a fixed way, leading to large errors in different mission stages like take-off aerobatic maneuvers. This paper p...