Results 21 to 30 of about 2,583,502 (287)

Extension of Subspace Identification to LPTV Systems: Application to Helicopters [PDF]

open access: yes, 2012
In this paper, we focus on extending the subspace identification to the class of linear periodically time-varying (LPTV) systems. The Lyapunov-Floquet transformation is first applied to the system’s state-space model in order to get the monodromy matrix (
Jhinaoui, Ahmed   +5 more
core   +1 more source

Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach

open access: yesAbstract and Applied Analysis, 2014
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
doaj   +1 more source

Development of a software platform for bridge modal and damage identification based on ambient excitation

open access: yesHigh-Speed Railway, 2023
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

open access: yesShock and Vibration, 2019
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

Subspace Identification for Industrial Processes

open access: yesTrends in Computational and Applied Mathematics, 2011
Summary: Subspace identification has been a topic of research along the last years. Methods as MOESP and N4SID are well known and they use the LQ decomposition of certain matrices of input and output data. Based on these we introduce the MON4SID method, which uses the techniques MOESP and N4SID.
Borjas, S.D.M., Garcia, C.
openaire   +4 more sources

Discriminative Semantic Subspace Analysis for Relevance Feedback [PDF]

open access: yes, 2016
Content-based image retrieval (CBIR) has attracted much attention during the past decades for its potential practical applications to image database management. A variety of relevance feedback (RF) schemes have been designed to bridge the gap between low-
Zhang, Lining   +6 more
core   +1 more source

Stochastic Subspace Method for Experimental Modal Analysis

open access: yesMATEC Web of Conferences, 2016
The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model.
Liu Dazhi   +5 more
doaj   +1 more source

Subspace discovery for video anomaly detection [PDF]

open access: yes, 2010
PhDIn automated video surveillance anomaly detection is a challenging task. We address this task as a novelty detection problem where pattern description is limited and labelling information is available only for a small sample of normal instances.
Tziakos, Ioannis
core   +4 more sources

Recursive Parsimonious Subspace Identification for Closed-Loop Hammerstein Nonlinear Systems

open access: yesIEEE Access, 2019
In this paper, a recursive closed-loop subspace identification method for Hammerstein nonlinear systems is proposed. To reduce the number of unknown parameters to be identified, the original hybrid system is decomposed as two parsimonious subsystems ...
Jie Hou   +4 more
doaj   +1 more source

Closed and Open Loop Subspace System Identification of the Kalman Filter [PDF]

open access: yesModeling, Identification and Control, 2009
Some methods for consistent closed loop subspace system identification presented in the literature are analyzed and compared to a recently published subspace algorithm for both open as well as for closed loop data, the DSR_e algorithm.
David Di Ruscio
doaj   +1 more source

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