메뉴 건너뛰기




Volumn 46, Issue 2, 2007, Pages 167-179

Bouc-Wen model parameter identification for a MR fluid damper using computationally efficient GA

Author keywords

Efficient genetic algorithms; Non symmetrical MR damper model; Parameter identification

Indexed keywords

COMPUTATIONAL EFFICIENCY; DAMPING; GENETIC ALGORITHMS; HYSTERESIS; MATHEMATICAL MODELS; STATISTICAL TESTS;

EID: 33947279419     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2006.08.005     Document Type: Article
Times cited : (229)

References (26)
  • 2
    • 0031386959 scopus 로고    scopus 로고
    • Controlling buildings: A new frontier in feedback
    • Spencer Jr. B.F., and Sain M.K. Controlling buildings: A new frontier in feedback. IEEE Control Systems Magazine 17 6 (1997) 19-35
    • (1997) IEEE Control Systems Magazine , vol.17 , Issue.6 , pp. 19-35
    • Spencer Jr., B.F.1    Sain, M.K.2
  • 3
    • 0034255331 scopus 로고    scopus 로고
    • Semiactive control strategies for MR dampers: Comparative study
    • Jansen L.M., and Dyke S.J. Semiactive control strategies for MR dampers: Comparative study. Journal of Engineering Mechanics 126 8 (2000) 795-803
    • (2000) Journal of Engineering Mechanics , vol.126 , Issue.8 , pp. 795-803
    • Jansen, L.M.1    Dyke, S.J.2
  • 5
    • 23044531018 scopus 로고    scopus 로고
    • Modelling and simulation of electro- and magnetorheological fluid dampers
    • Butz T., and Van Butz O. Modelling and simulation of electro- and magnetorheological fluid dampers. Journal of Applied Mathematics and Mechanics 82 1 (2002) 3-20
    • (2002) Journal of Applied Mathematics and Mechanics , vol.82 , Issue.1 , pp. 3-20
    • Butz, T.1    Van Butz, O.2
  • 6
    • 4444336140 scopus 로고    scopus 로고
    • Dynamic modeling of large-scale magnetorheological damper systems for civil engineering applications
    • Yang G., Spencer Jr. B.F., Bille F., Jung H.J., and Carlson J.D. Dynamic modeling of large-scale magnetorheological damper systems for civil engineering applications. Journal of Engineering Mechanics 130 9 (2004) 1107-1114
    • (2004) Journal of Engineering Mechanics , vol.130 , Issue.9 , pp. 1107-1114
    • Yang, G.1    Spencer Jr., B.F.2    Bille, F.3    Jung, H.J.4    Carlson, J.D.5
  • 7
    • 0033715030 scopus 로고    scopus 로고
    • Schurter KC, Roschke PN. Fuzzy modelling of a magnetorheological damper using ANFIS. In: Proc. 9th IEEE intl conf on fuzzy systems. 2000. p. 122-7
  • 8
    • 13844272520 scopus 로고    scopus 로고
    • Modeling and control of magnetorheological fluid dampers using neural networks
    • Wang D.H., and Liao W.H. Modeling and control of magnetorheological fluid dampers using neural networks. Smart Materials and Structures 14 1 (2005) 111-126
    • (2005) Smart Materials and Structures , vol.14 , Issue.1 , pp. 111-126
    • Wang, D.H.1    Liao, W.H.2
  • 9
    • 0035833638 scopus 로고    scopus 로고
    • A hysteresis model for the field-dependent damping force of a magnetorheological damper
    • Choi S.B., and Lee S.K. A hysteresis model for the field-dependent damping force of a magnetorheological damper. Journal of Sound and Vibration 245 2 (2001) 375-383
    • (2001) Journal of Sound and Vibration , vol.245 , Issue.2 , pp. 375-383
    • Choi, S.B.1    Lee, S.K.2
  • 10
    • 0036996198 scopus 로고    scopus 로고
    • Ma XQ, Wang ER, Rakheja S, Su CY. Modeling hysteretic characteristics of MR-fluid damper and model validation. In: Proc. 41st IEEE conf. on decision and control. 2002. p. 1675-80
  • 13
    • 15844395364 scopus 로고    scopus 로고
    • Softcomputing for the identification of the Jiles-Atherton model parameters
    • Fulginei F.R., and Salvini A. Softcomputing for the identification of the Jiles-Atherton model parameters. IEEE Transactions on Magnetics 41 3 (2005) 1100-1108
    • (2005) IEEE Transactions on Magnetics , vol.41 , Issue.3 , pp. 1100-1108
    • Fulginei, F.R.1    Salvini, A.2
  • 16
    • 0032136585 scopus 로고    scopus 로고
    • Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
    • Herrera F., Lozano M., and Verdegay J.L. Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial Intelligence Review 12 4 (1998) 265-319
    • (1998) Artificial Intelligence Review , vol.12 , Issue.4 , pp. 265-319
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 17
    • 0002819121 scopus 로고
    • A comparative analysis of selection schemes used in genetic algorithms
    • Rawlins G.J.E. (Ed), Morgan Kaufmann, San Mateo (CA)
    • Goldberg D.E., and Deb K. A comparative analysis of selection schemes used in genetic algorithms. In: Rawlins G.J.E. (Ed). Foundations of genetic algorithms (1991), Morgan Kaufmann, San Mateo (CA) 69-93
    • (1991) Foundations of genetic algorithms , pp. 69-93
    • Goldberg, D.E.1    Deb, K.2
  • 18
    • 33947236699 scopus 로고    scopus 로고
    • Baker JE. Reducing bias and inefficiency in the selection algorithm. In: Proc. 2nd intl. conf. on genetic algorithms. Cambridge (MA); 1987. p. 14-21
  • 20
    • 33947227227 scopus 로고    scopus 로고
    • Kwok NM, Ha QP, Li J, Samali B, Hong SM. Parameter identification for a magnetorheological fluid damper: An evolutionary computation approach. In: Proc. 6th intl. conf. on intelligent technologies. 2005. p. 115-22
  • 22
    • 10444261216 scopus 로고    scopus 로고
    • Modelling the hysteresis phenomenon of magnetorheological dampers
    • Dominguez A., Sedaghati R., and Stiharu I. Modelling the hysteresis phenomenon of magnetorheological dampers. Smart Materials and Structures 13 (2004) 1351-1361
    • (2004) Smart Materials and Structures , Issue.13 , pp. 1351-1361
    • Dominguez, A.1    Sedaghati, R.2    Stiharu, I.3
  • 24
    • 4444237032 scopus 로고    scopus 로고
    • Zhang Q, Li X, Tran QA. Breeder genetic algorithm based fuzzy simulation. In: Proc. 5th world congress on intelligent control and automation. 2004. p. 2109-11
  • 25
    • 84877000344 scopus 로고    scopus 로고
    • Li J, Kang L, Wu Z. An adaptive neighbourhood-based multi-parent crossover operator for real-coded genetic algorithms. In: Proc. 2003 congress on evolutionary computation. 2003. p. 14-21
  • 26
    • 0028203106 scopus 로고
    • Convergence analysis of canonical genetic algorithms
    • Rudolph G. Convergence analysis of canonical genetic algorithms. IEEE Transactions on Neural Networks 5 1 (1994) 96-101
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.1 , pp. 96-101
    • Rudolph, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.