Results 51 to 60 of about 7,261 (147)

Research on Model Identification of Permanent Magnet DC Brushless Motor Based on Auxiliary Variable Subspace Identification Algorithm

World Electric Vehicle Journal
This paper proposes a model identification method based on the auxiliary variable closed-loop subspace identification algorithm to address the problem of modeling difficulties caused by various complex factors affecting permanent magnet brushless DC ...
Jing Zhang, Yuhui Liu, Te Chen, Guowei Dou   +3 more
doaj   +1 more source

Stiffness Identification of High-Rise Buildings Based on Statistical Model-Updating Approach

Frontiers in Built Environment, 2018
A system identification problem is investigated for high-rise buildings to identify the story stiffnesses of a shear-bending model (SB model). In the previously proposed stiffness identification method due to the present authors, the shear and bending ...
Kohei Fujita, Izuru Takewaki
doaj   +1 more source

On subspace identification of cascade structured systems

49th IEEE Conference on Decision and Control (CDC), 2010
In identification it is important to take a priori structural information into account in many applications, something that is difficult when using subspace methods. Here will study how to incorporate a special structure, a cascade structure with two subsystems. Two new methods are derived for estimating system with this structure.
Hägg, Per, Wahlberg, Bo, Sandberg, Henrik   +2 more
openaire   +3 more sources

Free-Decay Nonlinear System Identification via Mass-Change Scheme

Shock and Vibration, 2019
Methods for nonlinear system identification of structures generally require input-output measured data to estimate the nonlinear model, as a consequence of the noninvariance of the FRFs in nonlinear systems.
Dario Anastasio, Stefano Marchesiello
doaj   +1 more source

Damping Effects Induced by a Mass Moving along a Pendulum

Shock and Vibration, 2014
The experimental study of damping in a time-varying inertia pendulum is presented. The system consists of a disk travelling along an oscillating pendulum: large swinging angles are reached, so that its equation of motion is not only time-varying but also
E. Gandino, S. Marchesiello, A. Bellino, A. Fasana, L. Garibaldi   +4 more
doaj   +1 more source

Modal Parameter Identification of the Improved Random Decrement Technique-Stochastic Subspace Identification Method Under Non-Stationary Excitation

Applied Sciences
Commonly used methods for identifying modal parameters under environmental excitations assume that the unknown environmental input is a stationary white noise sequence.
Jinzhi Wu, Jie Hu, Ming Ma, Chengfei Zhang, Zenan Ma, Chunjuan Zhou, Guojun Sun   +6 more
doaj   +1 more source

LQ decomposition based subspace identification under deterministic type disturbance

Systems Science & Control Engineering, 2017
To overcome the influence from deterministic type load disturbance with unknown dynamics, a bias-eliminated subspace identification method is proposed for consistent estimation.
Shengnan Zhang, Tao Liu, Jie Hou, Xiongwei Ni   +3 more
doaj   +1 more source

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

Space-Time Coded MC-CDMA: Blind Channel Estimation, Identifiability, and Receiver Design

EURASIP Journal on Advances in Signal Processing, 2002
Integrating the strengths of multicarrier (MC) modulation and code division multiple access (CDMA), MC-CDMA systems are of great interest for future broadband transmissions. This paper considers the problem of channel identification and signal combining/
Li Hongbin, Sun Wei
doaj   +1 more source

Bilinear System Identification Using Subspace Method

Baghdad Science Journal
In this paper, a subspace identification method for bilinear systems is used . Wherein a " three-block " and " four-block " subspace algorithms are used. In this algorithms the input signal to the system does not have to be white . Simulation of these algorithms shows that the " four-block " gives fast convergence and the dimensions of the matrices ...
openaire   +1 more source