Results 31 to 40 of about 3,247,690 (230)
A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field ...
Hoofar Shokravi +5 more
doaj +1 more source
Data-Driven Predictive Control of a Pneumatic Ankle Foot Orthosis
We present the design and control of a pneumatic ankle-foot orthosis (P-AFO) device powered via bi-directional pneumatic rotary actuator and a pneumatic artificial muscle for rehabilitation assistance and treatment of neuromuscular disorders.
ULKIR, O. +3 more
doaj +1 more source
CESSIPy: A Python open-source module for stochastic system identification in civil engineering
This paper presents CESSIPy, a Python open-source module for identifying modal properties of a vibrating structure from output-only measurements. The identified properties are natural frequencies, damping ratios and modal shapes.
Matheus Roman Carini, Marcelo Maia Rocha
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Towards deterministic subspace identification for autonomous nonlinear systems [PDF]
The problem of identifying deterministic autonomous linear and nonlinear systems is studied. A specific version of the theory of deterministic subspace identification for discrete-time autonomous linear systems is developed in continuous time.
Astolfi, A, Padoan, A
core +1 more source
Blockwise Subspace Identification for Active Noise Control [PDF]
In this paper, a subspace identification solution is provided for active noise control (ANC) problems. The solution is related to so-called block updating methods, where instead of updating the (feedforward) controller on a sample by sample base, it is ...
Doelman, N.J. +2 more
core +3 more sources
Identification of Physical Helicopter Models Using Subspace Identification
Subspace identification is a powerful tool due to its well-understood techniques based on linear algebra (orthogonal projections and intersections of subspaces) and numerical methods like singular value decomposition. However, the state space model matrices, which are obtained from conventional subspace identification algorithms, are not necessarily ...
Avcioglu, Sevil +2 more
openaire +2 more sources
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang +3 more
core +1 more source
Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach
This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. As the predictor is the key element of the predictive controller, we propose to derive such predictor based on the subspace matrices which are
Xiaosuo Luo, Yongduan Song
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Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and ...
Jiahuan Li +3 more
doaj +1 more source
Online Modal Identification of Concrete Dams Using the Subspace Tracking-Based Method
To investigate the time-varying dynamic characteristics of concrete dams under the excitation of large earthquakes for online structural health monitoring and damage evaluation, an online modal identification procedure based on strong-motion records is ...
Lin Cheng +3 more
doaj +1 more source

