Identification of restoring forces in non-linear vibration systems based on neural networks

Journal of Sound and Vibration

Volumn 206, Issue 1, 1997, Pages 103-108

  Liang, Y C ^a   Zhou, C G ^a   Wang, Z S ^b  

^a JILIN UNIVERSITY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; NEURAL NETWORKS; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

NONLINEAR VIBRATION SYSTEMS;

VIBRATIONS (MECHANICAL);

EID: 0031232987     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1006/jsvi.1997.1084     Document Type: Editorial

References (5)

1. S. F. MASRI, A. G. CHASSIAKOS and T. K. CAUGHEY 1993 American Society of Mechanical Engineers Journal of Applied Mechanics 60, 123-133. Identification of nonlinear dynamic systems using neural networks.
2. K. S. MOHAMMAD, K. WORDEN and G. R. TOMLINSON 1992 Journal of Sound and Vibration 152, 471-499. Direct parameter estimation for linear and non-linear structures.
3. K. WORDEN and G. R. TOMLINSON 1989 Proceedings of the 7th International Modal Analysis Conference, Los Angeles, 1347-1355. Application of the restoring force surface method to non-linear elements.
4. K. WORDEN 1989 Ph.D Thesis, Mechanical Engineering Department, Heriot-Watt University. Parametric and non-parametric identification of nonlinearity in structural dynamics.
5. D. E. RUMELHART and J. L. MCCLELLAND 1988 Parallel Distributed Processing: Explorations in the micro structure of cognition.