Results 61 to 70 of about 94,605 (282)
Recursive Estimation of Orientation Based on the Bingham Distribution [PDF]
, 2013 Directional estimation is a common problem in many tracking applications. Traditional filters such as the Kalman filter perform poorly because they fail to take the periodic nature of the problem into account.
Gilitschenski, Igor +3 more
core
Advanced Intelligent Systems, EarlyView.Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Estimation of Sideslip Angle Based on Extended Kalman Filter
Journal of Electrical and Computer Engineering, 2017 The sideslip angle plays an extremely important role in vehicle stability control, but the sideslip angle in production car cannot be obtained from sensor directly in consideration of the cost of the sensor; it is essential to estimate the sideslip angle
Yupeng Huang +3 more
doaj +1 more source
Subsection Kalman filter model for mining subsidence monitoring data processing
矿业科学学报, 2021 Kalman filtering is used to filter GNSS mining subsidence monitoring data in order to solve the problems of long period and high frequency GNSS mining subsidence monitoring data that are greatly affected by the external environment, high data ...
Hao Dengcheng +5 more
doaj +1 more source
Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review
Advanced Intelligent Systems, EarlyView.This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley +1 more source
Научный вестник МГТУ ГА, 2016 The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the
I. A. Kudryavtseva
doaj
A Collaborative Kalman Filter for Time-Evolving Dyadic Processes [PDF]
, 2015 We present the collaborative Kalman filter (CKF), a dynamic model for collaborative filtering and related factorization models. Using the matrix factorization approach to collaborative filtering, the CKF accounts for time evolution by modeling each low ...
Gultekin, San, Paisley, John
core
Model Predictive Control meets robust Kalman filtering
, 2017 Model Predictive Control (MPC) is the principal control technique used in industrial applications. Although it offers distinguishable qualities that make it ideal for industrial applications, it can be questioned its robustness regarding model ...
Zenere, Alberto, Zorzi, Mattia
core +1 more source
Advanced Intelligent Systems, EarlyView.A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang +3 more
wiley +1 more source
Precision planter monitoring system based on mobile communication network
IET Networks, EarlyView., 2022 Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley +1 more source