Results 51 to 60 of about 25,230 (166)

Longitudinal Tire Force Estimation Method for 4WIDEV Based on Data-Driven Modified Recursive Subspace Identification Algorithm

Algorithms
For the longitudinal tire force estimation problem of four-wheel independent drive electric vehicles (4WIDEVs), traditional model-based observers have limitations such as high modeling complexity and strong parameter sensitivity, while pure data-driven ...
Xiaoyu Wang, Te Chen, Jiankang Lu
doaj   +1 more source

A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares

Energies, 2018
For model-based state of charge (SOC) estimation methods, the battery model parameters change with temperature, SOC, and so forth, causing the estimation error to increase.
Zizhou Lao, Bizhong Xia, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang   +5 more
doaj   +1 more source

Tracking Modal Parameters of Structures Online Using Recursive Stochastic Subspace Identification under Ambient Excitations

Buildings
Continuous and autonomous system identification is an alternative to regular inspection during operations, which is essential for structural integrity management (SIM) as well as structural health monitoring (SHM).
Shieh-Kung Huang, Jin-Quan Chen, Yuan-Tao Weng, Jae-Do Kang   +3 more
doaj   +1 more source

Identification using Convexification and Recursion.

, 2016
System identification studies how to construct mathematical models for dynamical systems from the input and output data, which finds applications in many scenarios, such as predicting future output of the system or building model based controllers for regulating the output the system.
openaire   +2 more sources

Modal Parameter Recursive Estimation of Concrete Arch Dams under Seismic Loading Using an Adaptive Recursive Subspace Method

Sensors
Modal parameter estimation is crucial in vibration-based damage detection and deserves increased attention and investigation. Concrete arch dams are prone to damage during severe seismic events, leading to alterations in their structural dynamic ...
Xinyi Zhu, Jianchun Qiu, Yanxin Xu, Xingqiao Chen, Pengcheng Xu, Xin Wu, Shaolong Guo, Jicheng Zhao, Jiale Lin   +8 more
doaj   +1 more source

Optimal, recursive procedures of identification

Computers & Mathematics with Applications, 1988
The paper concerns the parameter estimation of a stochastic process. We consider recursive estimating procedures based on the idea of stochastic approximation: (1) \(p_{s+1}=p_ s-\mu_ sF_{s+1}(Y_{s+1},p_ s)\), where \(\{\mu_ s\}\) is a sequence of positivd to the other ones when \(\beta\uparrow 1.\) Recently a variant of the discounted multi-armed ...
openaire   +1 more source

Equivalence of variance components between standard and recursive genetic models using LDL′ transformations

Genetics Selection Evolution
Background Recursive models are a category of structural equation models that propose a causal relationship between traits. These models are more parameterized than multiple trait models, and they require imposing restrictions on the parameter space to ...
Luis Varona, David López-Carbonell, Houssemeddine Srihi, Carlos Hervás-Rivero, Óscar González-Recio, Juan Altarriba   +5 more
doaj   +1 more source

Recursive Identification Algorithms

, 2001
Mechanisms for adapting models, filters, decisions, regulators, and so on to changing properties of a system or a signal are of fundamental importance in many modern signal processing and control algorithms. This contribution describes a basic foundation for developing and analyzing such algorithms. Special attention is paid to the rationale behind the
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Full-Process Temperature Prediction in Multi-Layer Robotic Grinding of High-Manganese Steel Under Limited Online Sensing. [PDF]

Sensors (Basel)
Zhong P, Xue L, Han F, Zou Y, Huang J.
europepmc   +1 more source

Multi-Stage Robust Bayesian High-Resolution Identification of Asynchronous Blade Vibrations Using Blade Tip Timing. [PDF]

Entropy (Basel)
Zhang Q, Chen X.
europepmc   +1 more source