This paper proposes a novel invariant extended Kalman filter (IEKF), modified version of the (EKF), for state-of-charge (SOC) estimation lithium-ion (Li-ion) battery cells. Unlike conventional EKF methods where correction term used to update state is linearly proportional output error, this employs IEKF independent resulting in significant reduction error and improving accuracy. In contrast cla...

Measuring the state variables of systems actuated by shape memory alloys (SMAs) is normally a difficult task because of the small diameter of the SMA wires. In such cases, as an alternative, observers are used to estimate the state vector. This paper presents an extended Kalman filter (EKF) for estimation of the state variables of a single-degree-of-freedom rotary manipulator actuated by an SMA...

This contribution evaluates an approach using an extended Kalman filter (EKF) to estimate the planetary boundary layer height (PBLH) from lidar measurements obtained in the framework of the European Aerosol Research LIdar NETwork (EARLINET) at 12 UTC ± 30-min for a 7-year period (2007-2013) under different synoptic flows over the complex geographical area of Barcelona, Spain. PBLH diagnosed wit...

Current out-of-sequence measurement (OOSM) filtering algorithms belong to two distinct classes, Kalman filter (KF) or extended KF (EKF) based and particle filter (PF) based. This paper compares the performances of the multiple-lag KF and PF based OOSM filtering algorithms for a number of scenarios with linear dynamic and measurement models with additive Gaussian noises first. The KF with in-seq...

The electrical network measurements by measuring device Phasor Measurement Device (PMU) are usually sent to the control centers using data acquisition system and other communication protocols available. However, these measurements contain uncertainties due to the measurements and communication noise (errors), incomplete metering or unavailability of some of measurements. The overall aim of stat...

It is system dynamics that determines the function of cells, tissues and organisms. To develop mathematical models and estimate their parameters are an essential issue for studying dynamic behaviors of biological systems which include metabolic networks, genetic regulatory networks and signal transduction pathways, under perturbation of external stimuli. In general, biological dynamic systems a...

This work deals with error models for trident quaternion framework proposed in the companion paper (Part I) and further uses them to investigate odometer-aided static/in-motion inertial navigation attitude alignment land vehicles. By linearizing kinematic equation, left right are obtained, which found be equivalent those derived from profound group affine. The two used design their correspondin...

In order to improve the estimation accuracy of state charge (SOC) electric vehicle power batteries, a dual Kalman filter method based on online identification model parameters is proposed estimate in lithium-ion batteries. Here, we build first-order equivalent circuit batteries and derive its extended (EKF). Considering that noise value EKF algorithm difficult select through experiments achieve...