Results 31 to 40 of about 2,583,502 (287)

Algorithms for deterministic balanced subspace identification [PDF]

open access: yesAutomatica, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ivan Markovsky   +3 more
openaire   +5 more sources

Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size

open access: yesComplexity, 2023
This paper proposes a recursive delta-operator-based subspace identification method with fixed data size. The majority of existing subspace identification methods are constrained to discrete-time systems because of the disparity in Hankel matrices ...
Miao Yu   +3 more
doaj   +1 more source

CS Decomposition Based Bayesian Subspace Estimation [PDF]

open access: yes, 2012
In numerous applications, it is required to estimate the principal subspace of the data, possibly from a very limited number of samples. Additionally, it often occurs that some rough knowledge about this subspace is available and could be used to improve
Besson, Olivier   +2 more
core   +1 more source

Failure Identification of Dump Truck Suspension Based on an Average Correlation Stochastic Subspace Identification Algorithm

open access: yesApplied Sciences, 2018
This paper proposes a fault identification method based on an improved stochastic subspace modal identification algorithm to achieve high-performance fault identification of dump truck suspension.
Bingwen Liu   +4 more
doaj   +1 more source

Closed-Loop Continuous-Time Subspace Identification with Prior Information

open access: yesMathematics, 2023
This paper presents a closed-loop continuous-time subspace identification method using prior information. Based on a rational inner function, a generalized orthonormal basis can be constructed, and the transformed noises have ergodicity features.
Miao Yu, Wanli Wang, Youyi Wang
doaj   +1 more source

Fault‐tolerant individual pitch control of floating offshore wind turbines via subspace predictive repetitive control

open access: yesWind Energy, 2021
Individual pitch control (IPC) is an effective and widely used strategy to mitigate blade loads in wind turbines. However, conventional IPC fails to cope with blade and actuator faults, and this situation may lead to an emergency shutdown and increased ...
Yichao Liu   +5 more
doaj   +1 more source

Multipoint Feeding Strategy of Aluminum Reduction Cell Based on Distributed Subspace Predictive Control

open access: yesMachines, 2022
With the continuous development of large-scale aluminum reduction cells, the problem of the uniform distribution of alumina concentration in the cell has become more and more serious for the reduction process. In order to achieve the uniform distribution
Jiarui Cui   +6 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

Photoinduced Charge Separation in Single‐Component Squaraine Films: The Key Role of Electrostatic Disorder

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Neat films of organic dyes are an interesting technological platform for solar cells and photodetectors. Recently, the conventional biphasic bulk‐heterojunction paradigm for photoinduced charge separation was challenged by the observation that charge carriers can be photogenerated in single‐component materials. A comprehensive experimental and
Davide Giavazzi   +12 more
wiley   +1 more source

Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms [PDF]

open access: yesJournal of Advances in Computer Engineering and Technology, 2015
Neural networks are applicable in identification systems from input-output data. In this report, we analyze theHammerstein-Wiener models and identify them.
Maryam Ashtari Mahini   +2 more
doaj  

Home - About - Disclaimer - Privacy