Selective sensitivity in the frequency domain--I. Theory

Ben‐Haim, Yakov; Prells, Uwe

doi:10.1006/mssp.1993.1027

Cited by 19 publications

(24 citation statements)

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“…If a u can be found from equation (21), whilst x satisfies the conditions in equation (19), then that same u will satisfy the selective sensitivity conditions expressed in equation (18). A solution for equation (21) will only exist if there is a vector f in the space spanned by the columns of B.…”

Section: Je3mentioning

confidence: 97%

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<title>Sensor and actuator topology for vibration control and parameter estimation</title>

Friswell

Inman

1997

SPIE Proceedings

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Active vibration control is using increasingly large numbers of sensors and actuators to achieve ever-improving results in the control of distributed systems. As the number of actuators and sensors increases, computational effort for control purposes increases. As the number of actuators and sensors grows, so too does the frequency range over which it is sensible to attempt active control and the time available for control calculations is therefore shrinking. Notwithstanding the remarkable rate at which processor speeds continue to increase, it is evident that full multi-input multi-output control cannot continue to be applied for increasing numbers of sensors and actuators. The requirement for every actuator to have an amplifier and every sensor to have signal conditioning is also very demanding.This paper addresses the issue of how best to implement the controller and estimator in smaller sensor Iactuator groups and to determine the optimum topology, or grouping, of the sensors and actuators. The demands of both the control and the parameter estimation are addressed, and the implementation of modal control and selective sensitivity estimation algorithms are described.

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Section: Je3mentioning

confidence: 97%

“…, s} representing the parameters to be updated. The procedure to be followed in determining a load system to satisfy equation (18) consists ofthe following steps.…”

Section: Selective Sensitivity In the Frequency Domainmentioning

confidence: 99%

<title>Sensor and actuator topology for vibration control and parameter estimation</title>

Friswell

Inman

1997

SPIE Proceedings

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“…When using the concept of selective sensitivity, it is assumed that mass matrix M and stiffness matrix K are composed of scaled mass and stiffness submatrices, respectively :

M = \sum_{i = 1}^{n_{m}} (1 + a_{italicmi}) {boldM}_{i}, K = \sum_{i = 1}^{n_{k}} (1 + a_{italicki}) {boldK}_{i}

…”

Section: Theory Of Selective Sensitive Identificationmentioning

confidence: 99%

Selective sensitive finite element model updating: an improved approach

Billmaier

Bucher

Adam

2014

Struct. Control Health Monit.

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SUMMARY This paper discusses the realization of dynamic excitations that are used to complete finite element model updating, based on the selective sensitivity approach. It is explained how structures with many DOFs respond in desired parameter (in‐) sensitive output patterns and how such patterns can be achieved without substantial previous theoretical knowledge. The excitation of selective sensitive response patterns has been defined in the literature as the fundamental requirement to perform parameter (in‐) sensitive model updating. Up to now, the practical generation of selective sensitive response patterns on existing and possible complex structures has been questionable. Consequently, in this paper, a major effort is dedicated to overcome this problem and to provide an excitation approach that can be realized in practice. In a test example, the system parameters of a continuous steel beam are identified, taking into account the minimum excitation configuration given by four available electro dynamic shakers. The realization of different and independent experimental configurations is shown. Copyright © 2014 John Wiley & Sons, Ltd.

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“…Ben-Haim and Prells [12] and Prells and Ben-Haim [13] develop the concept of selective sensitivity in the frequency domain for identification of structures by determining excitation signals for which, at most, two parameters of a linear structural model are most sensitive. This concept relies on the open-loop system sensitivity functions, whose magnitude is frequency dependent.…”

Section: Introductionmentioning

confidence: 99%