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Everything about Subspace identification method
Mathematical concept
In mathematics, specifically in control theory, subspace identification (SID) aims at identifying linear time invariant (LTI) state space models from input-output data. SID does not require that the user parametrizes the system matrices before solving a parametric optimization problem and, as a consequence, SID methods do not suffer from problems related to local minima that often lead to unsatisfactory identification results. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Subspace identification methodA 5-minute orientation
- Skim a recent paper: Machine learning-based stochastic subspace identification method for structural modal parametersInfluential work since 2022
- Pick up a classic book: Neural Information ProcessingThe most-reprinted book on the subject
- Read the landmark paper: A subspace identification extension to the phase correlation methodCited 199 times
- Go sideways: Hankel matrixA closely related topic
- Go sideways: Realization (systems)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A subspace identification extension to the phase correlation method
Performance analysis of the subspace method for blind channel identification
Structure-Based Subspace Method for Multichannel Blind System Identification
A NEW SUBSPACE IDENTIFICATION METHOD FOR OPEN AND CLOSED LOOP DATA
Modal identification of civil structures via covariance-driven stochastic subspace method
MOESP-type Closed-loop Subspace Model Identification Method
Identification of 18 flutter derivatives by covariance driven stochastic subspace method
Modal parameters identification of bridge by improved stochastic subspace identification method with Grubbs criterion
🆕 Influential since 2022
Machine learning-based stochastic subspace identification method for structural modal parameters
A lightweight stochastic subspace identification-based modal parameters identification method of time-varying structural systems
A combined invariant-subspace and subspace identification method for continuous-time state–space models using slowly sampled multi-sine-wave data
A Cable Defect Localization Method Based on Multiresolution Singular Value Decomposition and Stochastic Subspace Identification
Development of a grey-box heat load prediction model by subspace identification method for heating building
📚 Books worth reading
Neural Information ProcessingTingwen Huang · 2012- 📕TopologyE. M. Patterson · 1956
Biometric RecognitionWei-Shi Zheng · 2012
Computer Vision - ACCV 2012 WorkshopsJong-Il Park · 2013- 📕Subspace Methods for System IdentificationTohru Katayama · 2006
Subspace methods for system identificationTohru Katayama · 2005
Constrained optimization and optimal control for partial differential equationsGünter Leugering · 2012
Medical Computer Vision. Recognition Techniques and Applications in Medical ImagingBjoern H. Menze · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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- Linear time-invariant system In system analysis, among other fields of study, a linear time-invariant (LTI) system is a system that produces an output signal from any input signal…