Results 81 to 90 of about 17,529,102 (294)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

A novel Gauss-Hermite High-Order Sampling Hybrid ensemble filter for computationally efficient data assimilation in geosciences – Part 1: Application to Lorenz-96 in PythonDA v1.2.2 [PDF]

Geoscientific Model Development
Data assimilation is used in a number of geophysical applications to optimally integrate information from observations and models. Providing an estimation of both state and uncertainty, ensemble algorithms are among the most successful data assimilation ...
S. Spada, A. Teruzzi, S. Maset, S. Salon, C. Solidoro, G. Cossarini   +5 more
doaj   +1 more source

An adaptive square-root unscented Kalman filter for underwater Vehicle navigation

, 2014
In order to increase the approximation accuracy of the state estimate of nonlinear systems and to guarantee numerical stability of the unscented Kalman filter (UKF), a novel adaptive square-root unscented Kalman filter (ASRUKF) based on modified Sage ...
Liu KZ(刘开周), Lin YP(林燕平), Wang XL(王秀莲)   +2 more
core  

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Square-root information filter based sensor data fusion algorithm

, 2000
In this paper the square-root information filter is studied for possible application to sensor data fusion process. Sensor data fusion is gaining increasing importance in modern technologies.
Girija, G, Rao, JR
core  

A Square Root Topologys to Find Unstructured Peer-To-Peer Networks [PDF]

, 2013
Unstructured peer-to-peer file sharing networks are very popular in the market Which they introduce Large network traffic The resultant networks may not perform search efficiently and effectively because used overlay topology formation algorithms are ...
Yadma Srinivas Reddy
core  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Gyro Drift Correction for An Indirect Kalman Filter Based Sensor Fusion Driver

Sensors, 2016
Sensor fusion techniques have made a significant contribution to the success of the recently emerging mobile applications era because a variety of mobile applications operate based on multi-sensing information from the surrounding environment, such as ...
Chan-Gun Lee, Nhu-Ngoc Dao, Seonmin Jang, Deokhwan Kim, Yonghun Kim, Sungrae Cho   +5 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Multiscale Bayes Adaptive Threshold Wavelet Transform Geomagnetic Basemap Denoising Taking Residual Constraints into Account

Sensors
To achieve high-precision geomagnetic matching navigation, a reliable geomagnetic anomaly basemap is essential. However, the accuracy of the geomagnetic anomaly basemap is often compromised by noise data that are inherent in the process of data ...
Pan Xiong, Gang Bian, Qiang Liu, Shaohua Jin, Xiaodong Yin   +4 more
doaj   +1 more source