Results 31 to 40 of about 7,261 (147)
Subspace Methods in System Identification
IFAC Proceedings Volumes, 1994 Abstract Subspace-based methods for system identification have attracted much attention during the past few years. This interest is due to the ability of providing accurate state-space models for multivariable linear systems directly from input-output data.
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Frontiers in Built Environment, 2017 A system identification (SI) problem of high-rise buildings is investigated under restricted data environments. The shear and bending stiffnesses of a shear-bending model (SB model) representing the high-rise buildings are identified via the smart ...
Kohei Fujita +2 more
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Model-Free PI/PID Controller Tuning of Higher Order Nonlinear Dynamic Systems [PDF]
Modeling, Identification and Control, 2019 This paper concerns model-free PI/PID controller tuning of possible (nonlinear) higher order systems. The method can be considered as a three-step procedure.
Christer Dalen, David Di Ruscio
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Frequency-domain subspace identification for nonlinear mechanical systems [PDF]
Mechanical Systems and Signal Processing, 2013 Abstract This paper introduces a new frequency-domain subspace-based method for the identification of nonlinear mechanical systems. The technique exploits frequency-domain data and interprets nonlinearities as feedback forces exciting the underlying linear system. It is first demonstrated using two academic examples, namely a Duffing oscillator and a
Noël, Jean-Philippe, Kerschen, Gaëtan
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Multivariate Identification via Linear Projection of Eigenvectors
MathematicsA data-driven system identification algorithm that utilizes eigenvectors is presented. The eigenvectors are extracted from a unified solution space comprising both input and output subspaces. To expand the input subspace, a higher-order subspace from the
Dong-Hwan Kim
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Subspace system identification via weighted nuclear norm optimization [PDF]
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012 We present a subspace system identification method based on weighted nuclear norm approximation. The weight matrices used in the nuclear norm minimization are the same weights as used in standard subspace identification methods. We show that the inclusion of the weights improves the performance in terms of fit on validation data.
Hansson, Anders +2 more
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SSI improved algorithm based on zero phase filtering technology for structural parameter identification in civil engineering [PDF]
Archives of Civil EngineeringEarly damage detection and reinforcement of civil engineering structures are crucial. To ensure timely maintenance in the later stage, the civil structure is subjected to modal parameter identification.
Kai Yang, Zhenwu Wang
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Consensus Control for Looper Tension Control System Using Subspace Identification Method
IEEE Access, 2020 The looper tension control system of hot strip mills is a typical multi-agent system, and the coupling effects among the agents are strong. However,it is difficult for us to establish the accurate coupling model for the looper tension control system.
Xiao-Dong Zhang +4 more
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Monitoring and Identification of Vibration Frequencies on a Portion of México City Metro Line 12
Advances in Civil Engineering, 2019 The use of recursive subspace-based identification methods is analyzed in the estimation of the most significant vibration frequencies along an elevated railroad segment of México City Metro Line 12 using ambient vibration measurements recorded from 2012,
Miguel Ángel García-Illescas +2 more
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Health Monitoring of Civil Infrastructures by Subspace System Identification Method: An Overview
Applied Sciences, 2020 Structural health monitoring (SHM) is the main contributor of the future’s smart city to deal with the need for safety, lower maintenance costs, and reliable condition assessment of structures.
Hoofar Shokravi +4 more
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