Results 91 to 100 of about 7,896 (220)
Autonomous planetary rovers operate in GPS‐denied, low‐texture, crater‐rich environments where traditional SLAM‐based navigation systems suffer from localization drift and unreliable obstacle handling. To address these challenges, this work proposes a Space‐ROS–based autonomous navigation framework integrating ROS2 with the NAV2 stack, RTAB‐Map visual ...
Imnul Haque Ruman Talukder +5 more
wiley +1 more source
Unscented Kalman observer [PDF]
International audienceThe extended Kalman filter is an exponentially converging observer as soon as it is written in a canonical form of observability and in its high-gain form.
Mohamed Aidene +5 more
core +2 more sources
Quadrature Kalman filter–based state of charge estimation for lithium-ion battery
This article presents an approach to lithium-ion battery state of charge estimation based on the quadrature Kalman filter. Among the existing state of charge estimation approaches, the extended Kalman filter–based state of charge and unscented filter ...
Mengtao Huang +4 more
doaj +1 more source
ABSTRACT Accurate mechanical characterization of civil engineering structures after construction remains challenging due to the unique complexities of each structure, including geometric configurations, imperfect design modeling assumptions, soil conditions, and pervasive uncertainties in actual operational environments. Leveraging actual measurements,
Xinhao He +7 more
wiley +1 more source
Adaptive unscented Kalman filter for estimation of modelling errors for helicopter [PDF]
In order to overcome the drawback of the normal unscented Kalman filter (UKF) a novel adaptive UKF (AUKF) is developed and applied to nonlinear joint estimation of both time-varying states and modelling errors for helicopter.
Song Q(宋崎), He YQ(何玉庆)
core
Unscented Kalman Filter for Brain-Machine Interfaces
Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear models of neural tuning and were limited in the way they
Zheng Li +5 more
openaire +4 more sources
Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley +1 more source
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi +1 more
doaj +1 more source
A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries
With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of ...
Xintian Liu +4 more
doaj +1 more source
A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs
ABSTRACT Inertial Measurement Units (IMUs), comprising gyroscopes and accelerometers, are fundamental for motion estimation in navigation and robotics. However, their performance is often degraded by nonlinear and time‐varying errors, such as bias drift, scale‐factor deviations, and sensor noise.
Xin Ye +4 more
wiley +1 more source

