On the identification of hysteretic systems. Part I: Fitness landscapes and evolutionary identification

Mechanical Systems and Signal Processing

Volumn 29, Issue , 2012, Pages 201-212

  Worden, K ^a   Manson, G ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Differential evolution; Hysteresis; Nonlinear system identification; Self adaptive differential evolution; The Bouc Wen model; The fitness landscape

Indexed keywords

BOUC WEN MODEL; DIFFERENTIAL EVOLUTION; FITNESS LANDSCAPE; NON-LINEAR SYSTEM IDENTIFICATION; SELF-ADAPTIVE;

COMPUTER SIMULATION; HYSTERESIS; NONLINEAR DYNAMICAL SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION;

EVOLUTIONARY ALGORITHMS;

EID: 84859422052     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.01.004     Document Type: Conference Paper

References (18)

1. A. Visitin Differential Models of Hysteresis 1994 Springer Berlin
2. R. Bouc, Forced vibration of mechanical system with hysteresis, in: Proceedings of 4th Conference on Nonlinear Oscillation, Prague, Czechoslovakia, 1967.
3. Y. Wen Method for random vibration of hysteretic systems ASCE J. Eng. Mech. Div. 1976 249 263
4. F. Ikhouane, and J. Rodellar Systems with Hysteresis: Analysis, Identification and Control Using the BoucWen Model 2007 Wiley-Blackwell
5. B.P. Deacon, K. Worden, Identification of hysteretic systems using genetic algorithms, in: Proceedings of EUROMECH - 2nd European Nonlinear Oscillations Conference, Prague, 1996, pp. 5558.
6. A. Kyprianou, K. Worden, and M. Panet Identification of hysteretic systems using the differential evolution algorithm J. Sound Vib. 248 2001 289 314 (Pubitemid 33112652)
7. A.K. Qin, P.N. Suganthan, Self-adaptive differential evolution algorithm for numerical optimization, in: Proceedings of IEEE Congress on Evolutionary Computation (CEC 2005), Edinburgh, Scotland, 2005.
8. M. Yar, and J.K. Hammond Parameter estimation for hysteretic systems J. Sound Vib. 117 1987 161 172
9. K. Price, and R. Storn Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces J. Global Optim. 11 1997 341 359 (Pubitemid 127502202)
10. The Mathworks 2004, Matlab v7.
11. C.M. Bishop Neural Networks for Pattern Recognition 1995 Oxford University Press
12. S.F. Masri, A. Smyth, A.G. Chassiakos, Adaptive identification for the control of systems incorporating hysteretic elements, in: Proceedings of the International Symposium on Microsystems, Intelligent Materials and Robots, Sendia, Japan, 1995, pp. 419422.
13. K. Worden, J.J. Hensman, Bayesian system identification of hysteretic systems, in: Proceedings of ICEDyn 2011 - 3rd International Conference on Engineering Dynamics, Tavire, Portugal, 2011.
14. K.S. Mohammad, K. Worden, and G.R. Tomlinson Direct parameter estimation for linear and nonlinear structures J. Sound Vib. 152 1992 471 499
15. K. Worden Data processing and experiment design for the restoring force surface method. Part I. Integration and differentiation of measured time data Mech. Syst. Signal Process. 4 1990 321 344
16. W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery Numerical Recipes: The Art of Scientific Computing 3rd ed. 2007 Cambridge University Press
17. V.L. Huang, A.K. Qin, P.N. Suganthan, Self-adaptive differential evolution algorithm for constrained real-parameter optimization, in: Proceedings of IEEC Congress on Evolutionary Computation (CEC 2006), Vancouver, Canada, 2006, pp. 1724. (Pubitemid 47130474)
18. 〈http://www.icsi.berkeley.edu/∼storn/code.html〉 (accessed 27th October 2009).