Results 31 to 40 of about 2,583,502 (287)
Algorithms for deterministic balanced subspace identification [PDF]
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Ivan Markovsky +3 more
openaire +5 more sources
Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
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]
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
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
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
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
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
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
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]
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

