CoChat
Sign Up
Cited by 70Vibration Control and Rheological FluidsStructural Health Monitoring TechniquesSeismic Performance and Analysis

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Wavelet‐Based Adaptive Pole Assignment Method for Structural Control

Open access
Amini, Fereidoun, Samani, Masoud Zabihi·2014·Computer-Aided Civil and Infrastructure Engineering
DOI 10.1111/mice.12072
Open this paper in CoChat — free account

Abstract

This article presents a time varying wavelet-based pole assignment (WPA) method to control seismic vibrations in multi-degree of freedom (MDOF) structural systems. The discrete wavelet transform is used to determine the energy content over the frequency band of the response in real time. The frequency content was implemented in the Big Bang–Big Crunch algorithm to update the optimum values of the closed-loop poles of the structural system adaptively. To calculate optimum gain matrix, a robust pole placement algorithm was used. The gain matrix is calculated online based on response characteristic in real time and must not be calculated a priori (offline) choice. The WPA is tested on a 10-story structural system subject to several historical ground motions. It is observed that the WPA has advantages in some design problems. Numerical examples illustrate that the proposed approach reduces the displacement response of the structure in real time more than conventional linear quadratic regulator (LQR) controller.

Overview

Integrity signals

Registry

Crossref · 10.1111/mice.12072

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 61

  1. Adeli, 2004, Wavelet‐hybrid feedback‐least mean square algorithm for robust control of structures, Journal of Structural Engineering, 130, 128, 10.1061/(ASCE)0733-9445(2004)130:1(128) · DOI
  2. Adeli, 1997, Optimal control of adaptive/smart bridge structures, Journal of Structural Engineering, 123, 218, 10.1061/(ASCE)0733-9445(1997)123:2(218) · DOI
  3. Adeli, 1998, Integrated structural/control optimization of large adaptive/smart structures, International Journal of Solids and Structures, 35, 3815, 10.1016/S0020-7683(97)00220-5 · DOI
  4. Aldemir, 2010, A simple active control algorithm for earthquake excited structures, Computer‐Aided Civil and Infrastructure Engineering, 25, 218, 10.1111/j.1467-8667.2009.00629.x · DOI
  5. Aldemir, 2012, Control of structural response under earthquake excitation, Computer‐Aided Civil and Infrastructure Engineering, 27, 620, 10.1111/j.1467-8667.2012.00776.x · DOI
  6. Amini, 2002, Optimal active control of structures by pole assignment method, High Performance Structures and Composites, 4, 419
  7. Amini, 2013, Wavelet PSO‐based LQR algorithm for optimal structural control using active tuned mass dampers, Computer‐Aided Civil and Infrastructure Engineering, 28, 542, 10.1111/mice.12017 · DOI · Paper page
  8. Amini, 2006, Optimal placement of semi active dampers by pole assignment method, Iranian Journal of Science and Technology, Transaction B: Engineering, 30, 31
  9. Amini, 2008, Fuzzy optimal control of uncertain dynamic characteristics in tall buildings subjected to seismic excitation, Journal of Vibration and Control, 14, 1843, 10.1177/1077546308091206 · DOI
  10. Athans, 1971, The role and use of the stochastic linear‐quadratic‐gaussian problem in control system design, IEEE Transaction on Automatic Control, AC‐16, 529, 10.1109/TAC.1971.1099818 · DOI
  11. Bachelier, 2008, Non‐iterative pole placement technique: a step further, Journal of the Franklin Institute, 345, 267, 10.1016/j.jfranklin.2007.10.001 · DOI
  12. Basu, 2000, Stochastic seismic response of single‐degree‐of‐freedom systems through wavelets, Engineering Structures, 22, 1714, 10.1016/S0141-0296(99)00109-1 · DOI
  13. Basu, 1998, Seismic response of SDOF systems by wavelet modeling of nonstationary processes, Journal of Engineering Mechanics, 124, 1142, 10.1061/(ASCE)0733-9399(1998)124:10(1142) · DOI
  14. Basu, 2008, A wavelet‐based time‐varying adaptive LQR algorithm for structural control, Engineering Structures, 30, 2470, 10.1016/j.engstruct.2008.01.011 · DOI
  15. Bitaraf, 2012, Active and semi‐active adaptive control for undamaged and damaged building structures under seismic load, Computer‐Aided Civil and Infrastructure Engineering, 27, 48, 10.1111/j.1467-8667.2011.00719.x · DOI
  16. Camp, 2007, Design of space trusses using Big Bang–Big Crunch optimization, Journal of Structural Engineering, 133, 999, 10.1061/(ASCE)0733-9445(2007)133:7(999) · DOI
  17. Cho, 2012, Dynamic parameter identification of secondary mass dampers based on full‐scale tests, Computer‐Aided Civil and Infrastructure Engineering, 27, 218, 10.1111/j.1467-8667.2011.00740.x · DOI
  18. Cruz, 2009, Performance of vibration‐based damage detection methods in bridges, Computer‐Aided Civil and Infrastructure Engineering, 24, 62, 10.1111/j.1467-8667.2008.00546.x · DOI
  19. Erol, 2006, A new optimization method: Big Bang–Big Crunch, Advances in Engineering Software, 37, 106, 10.1016/j.advengsoft.2005.04.005 · DOI
  20. García‐Palencia, 2013, A two‐step model updating algorithm for parameter identification of linear elastic damped structures, Computer‐Aided Civil and Infrastructure Engineering, 28, 509, 10.1111/mice.12012 · DOI
  21. Ghaemmaghami, 2013, Numerical modeling of dynamic behaviour of annular tuned liquid dampers for applications in wind towers, Computer‐Aided Civil and Infrastructure Engineering, 28, 38, 10.1111/j.1467-8667.2012.00772.x · DOI
  22. Hu, 2003, Multilayer recurrent neural networks for online robust pole assignment, Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions, 50, 1488
  23. Hu, 2013, A wireless sensor network‐based structural health monitoring system for highway bridges, Computer‐Aided Civil and Infrastructure Engineering, 28, 193, 10.1111/j.1467-8667.2012.00781.x · DOI
  24. Jiang, 2008, Neuro‐genetic algorithm for non‐linear active control of structures, International Journal for Numerical Methods in Engineering, 75, 770, 10.1002/nme.2274 · DOI
  25. Kang, 2012, Performance evaluation of TMD under typhoon using system identification and inverse wind load estimation, Computer‐Aided Civil and Infrastructure Engineering, 27, 455, 10.1111/j.1467-8667.2011.00755.x · DOI
  26. Kareem, 2002, Time‐frequency analysis of wind effects on structures, Journal of Wind Engineering and Industrial Aerodynamics, 90, 1435, 10.1016/S0167-6105(02)00263-5 · DOI
  27. Kautsky, 1985, Robust pole assignment in linear state feedback, International Journal of Control, 41, 1129, 10.1080/0020718508961188 · DOI
  28. Kaveh, 2009, Size optimization of space trusses using Big Bang–Big Crunch algorithm, Computers & Structures, 87, 1129, 10.1016/j.compstruc.2009.04.011 · DOI
  29. Kim, 2004, Hybrid feedback‐least mean square algorithm for structural control, Journal of Structural Engineering, 130, 120, 10.1061/(ASCE)0733-9445(2004)130:1(120) · DOI
  30. Kim, 2005, Hybrid control of irregular steel highrise building structures under seismic excitations, International Journal for Numerical Methods in Engineering, 63, 1757, 10.1002/nme.1336 · DOI
  31. Kim, 2005, Hybrid control of smart structures using a novel wavelet‐based algorithm, Computer‐Aided Civil and Infrastructure Engineering, 20, 7, 10.1111/j.1467-8667.2005.00373.x · DOI
  32. Kim, 2005, Wavelet hybrid feedback‐LMS algorithm for robust control of cable‐stayed bridges, Journal of Bridge Engineering, 10, 116, 10.1061/(ASCE)1084-0702(2005)10:2(116) · DOI
  33. Kim, 2005, Wind‐induced motion control of 76‐story benchmark building using the hybrid damper‐tuned liquid column damper system, Journal of Structural Engineering, 131, 1794, 10.1061/(ASCE)0733-9445(2005)131:12(1794) · DOI
  34. Kim, 2006, Fuzzy control of base‐isolation system using multi‐objective genetic algorithm, Computer‐Aided Civil and Infrastructure Engineering, 21, 436, 10.1111/j.1467-8667.2006.00448.x · DOI
  35. Kim, 2009, Semiactive nonlinear control of a building with a magnetorheological damper system, Mechanical Systems and Signal Processing, 23, 300, 10.1016/j.ymssp.2008.06.006 · DOI
  36. Lei, 2012, A decentralized control algorithm for large‐scale building structures, Computer‐Aided Civil and Infrastructure Engineering, 27, 2, 10.1111/j.1467-8667.2010.00707.x · DOI
  37. Lin, 2010, Vibration control of structures with initially accelerated passive tuned mass dampers under near‐fault earthquake excitation, Computer‐Aided Civil and Infrastructure Engineering, 25, 69, 10.1111/j.1467-8667.2009.00607.x · DOI
  38. Lozano‐Galant, 2013, Application of observability techniques to structural‐system identification, Computer‐Aided Civil and Infrastructure Engineering, 28, 343, 10.1111/mice.12004 · DOI
  39. Lu, 2009, A unified analysis model for energy dissipation devices used in seismic‐resistant structures, Computer‐Aided Civil and Infrastructure Engineering, 24, 41, 10.1111/j.1467-8667.2008.00567.x · DOI
  40. Mallat, 1989, A theory for multiresolution signal decomposition: the wavelet representation, Pattern Analysis and Machine Intelligence, IEEE Transactions, 11, 674, 10.1109/34.192463 · DOI
  41. Matta, 2012, Effectiveness of tuned mass dampers against ground motion pulses, Journal of Structural Engineering, 139, 188, 10.1061/(ASCE)ST.1943-541X.0000629 · DOI
  42. Mosa, 2013, Expert system to control construction problems in flexible pavements, Computer‐Aided Civil and Infrastructure Engineering, 28, 307, 10.1111/mice.12001 · DOI
  43. Neild, 2003, A review of time‐frequency methods for structural vibration analysis, Engineering Structures, 25, 713, 10.1016/S0141-0296(02)00194-3 · DOI
  44. Newland, 1993, Harmonic wavelet analysis, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences, 443, 203
  45. Nigdeli, 2013, Active tendon control of torsionally irregular structures under near‐fault ground motion excitation, Computer‐Aided Civil and Infrastructure Engineering, 28, 718, 10.1111/mice.12046 · DOI · Paper page
  46. Panariello, 1997, Optimal structural control via training on ensemble of earthquakes, Journal of Engineering Mechanics, 123, 1170, 10.1061/(ASCE)0733-9399(1997)123:11(1170) · DOI
  47. Saleh, 1994, Parallel algorithms for integrated structural/control optimization, Journal of Aerospace Engineering, 7, 297, 10.1061/(ASCE)0893-1321(1994)7:3(297) · DOI
  48. Saleh, 1996, Parallel eigenvalue algorithms for large‐scale control‐optimization problems, Journal of Aerospace Engineering, 9, 70, 10.1061/(ASCE)0893-1321(1996)9:3(70) · DOI
  49. Saleh, 1997, Robust parallel algorithms for solution of the Riccati equation, Journal of Aerospace Engineering, 10, 126, 10.1061/(ASCE)0893-1321(1997)10:3(126) · DOI
  50. Singh, 2002, Tuned mass dampers for response control of torsional buildings, Earthquake Engineering & Structural Dynamics, 31, 749, 10.1002/eqe.119 · DOI
  51. Sladek, 1983, Effect of tuned‐mass dampers on seismic response, Journal of Structural Engineering, 109, 2004, 10.1061/(ASCE)0733-9445(1983)109:8(2004) · DOI
  52. Staszewski, 1998, Identification of non‐linear systems using multi‐scale ridges and skeletons of the wavelet transform, Journal of Sound and Vibration, 214, 639, 10.1006/jsvi.1998.1616 · DOI
  53. Umesha, 2009, Crack detection and quantification in beams using wavelets, Computer‐Aided Civil and Infrastructure Engineering, 24, 593, 10.1111/j.1467-8667.2009.00618.x · DOI
  54. Wang, 1983, Vibration control of tall buildings, Engineering Structures, 5, 282, 10.1016/0141-0296(83)90007-X · DOI
  55. Wirsching, 1973, Minimal structural response under random excitation using the vibration absorber, Earthquake Engineering & Structural Dynamics, 2, 303, 10.1002/eqe.4290020402 · DOI
  56. Xiang, 2012, Wavelet‐based detection of beam cracks using modal shape and frequency measurements, Computer‐Aided Civil and Infrastructure Engineering, 27, 439, 10.1111/j.1467-8667.2012.00760.x · DOI
  57. Yang, 1987, New optimal control algorithms for structural control, Journal of Engineering Mechanics, 113, 1369, 10.1061/(ASCE)0733-9399(1987)113:9(1369) · DOI
  58. Yuen, 2007, Structural protection using MR dampers with clipped robust reliability‐based control, Structural and Multidisciplinary Optimization, 34, 431, 10.1007/s00158-007-0097-3 · DOI
  59. Zhou, 2013, Response surface method based on radial basis functions for modeling large‐scale structures in model updating, Computer‐Aided Civil and Infrastructure Engineering, 28, 210, 10.1111/j.1467-8667.2012.00803.x · DOI
  60. Zhou, 2003, Time‐frequency signal analysis of earthquake records using Mexican hat wavelets, Computer‐Aided Civil and Infrastructure Engineering, 18, 379, 10.1111/1467-8667.t01-1-00315 · DOI
  61. Zhou, 2003, Wavelet energy spectrum for time‐frequency localization of earthquake energy, International Journal of Imaging Systems and Technology, 13, 133, 10.1002/ima.10038 · DOI

Cited by

Sorted by citations

See all 70

Metadata

Authors
Amini, F., & Samani, M. Z.
Affiliations
Iran University of Science and Technology (IR)
Corresponding author
Amini, Fereidoun
ORCID
Amini, Fereidoun
Venue
Computer-Aided Civil and Infrastructure Engineering
Publisher
Elsevier BV
Published
2014-07
Volume
29
Issue
6
Pages
464-477
ISSN
1093-9687 (ISSN-L)
DOI
10.1111/mice.12072
OpenAlex
W2158755755
Cited by
70
References
1
Citations by year
2024: 19 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 5 · 2016: 11 · 2015: 11 · 2014: 2
FWCI
18.52
Type
journal article
Language
en
Open access
Licence
Locations
Computer-Aided Civil and Infrastructure Engineering (publishedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Vibration Control and Rheological Fluids
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Engineering › Civil and Structural Engineering › Seismic Performance and Analysis
Keywords
adaptive pole placement, structural vibration control, seismic response, multi-degree-of-freedom systems, discrete wavelet transform, Big Bang-Big Crunch algorithm, robust pole assignment, real-time control, linear quadratic regulator comparison

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review