Stability evaluation and system identification of flexible multibody systems

Multibody System Dynamics

Volumn 18, Issue 1, 2007, Pages 95-106

  Bauchau, Olivier A ^a   Wang, Jielong ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Flexible multibody dynamics; Stability analysis; System identification

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CONVERGENCE OF NUMERICAL METHODS; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; SINGULAR VALUE DECOMPOSITION;

FLEXIBLE MULTIBODY DYNAMICS; LEAST SQUARES TECHNIQUES; STABILITY ANALYSIS;

SYSTEM STABILITY;

EID: 34250200091     PISSN: 13845640     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11044-007-9067-1     Document Type: Article

References (19)

1. Kim, C.H., Arora, J.S.: Nonlinear dynamic system identification for automotive crash using optimization: a review. Struct. Multidiscip. Optim. 25(1), 2-18 (2003)
2. Viberg, M.: Subspace-based methods for the identification of linear time-invariant systems. Automatica 31(12), 1835-1851 (1995)
3. Kalman, E.R.: Mathematical description of linear dynamical systems. SIAM J. Control 1(2), 152-192 (1963)
4. Ho, B., Kalman, R.: Efficient construction of linear state variable models from input/output functions. Regelungstechnik 14, 545-548 (1966)
5. Moore, B.C.: Principal component analysis in linear systems: controllability, observability, and model reduction. IEEE Trans. Autom. Control AC-26(1), 17-32 (1981)
6. Juang, J.N., Pappa, R.S.: An eigensystem realization algorithm for modal parameter identification and model reduction. J. Guid. Control Dyn. 8(5), 620-627 (1985)
7. Overschee, P., De Moor, B.: Subspace Identification for Linear Systems: Theory-Implementation -Applications. Springer, New York (1996)
8. Peeters, B., De Roeck, G.: Stochastic system identification for operational modal analysis: a review. ASME J. Dyn. Syst. Meas. Control 123, 659-667 (2001)
9. Lall, S., Marsden, J.E., Glavaśki, S.: A subspace approach to balanced truncation for model reduction of nonlinear control systems. Int. J. Robust Nonlinear Control 12(5), 519-535 (2002)
10. Bauchau, O.A., Wang, J.L. : Stability analysis of complex multibody systems. J. Comput. Nonlinear Dyn. 1(1), 71-80, January 2006
11. Bauchau, O.A., Wang, J.L.: Efficient and robust approaches to the stability analysis of large multibody systems. ASME J. Comput. Nonlinear Dyn. (2007, to appear)
12. Golub, G.H., Van Loan, C.F.: Matrix Computations, 2nd edn. The Johns Hopkins University Press, Baltimore (1989)
13. Juang, J.N.: Applied System Identification. Prentice-Hall, Englewood Cliffs (1994)
14. Arnold, W.F., Laub, A.J.: Generalized eigenproblem algorithms and software for algebraic Riccati equations. Proc. IEEE 72(12), 1746-1754 (1984)
15. Brewer, J.W. : Kronecker products and matrix calculus in system theory. IEEE Trans. Circuits Syst. 25(9), 772-781 (1978)
16. Bauchau, O.A., Bottasso, C.L., Nikishkov, Y.G.: Modeling rotorcraft dynamics with finite element multi-body procedures. Math. Comput. Model. 33(10-11), 1113-1137 (2001)
17. Bousman, W.G., Maier, T.: An investigation of helicopter rotor blade flap vibratory loads. In: American Helicopter Society 48th Annual Forum Proceedings, Washington, DC, June 3-5 1992, pp. 977-999
18. Peters, D.A., Karunamoorthy, S., Cao, W.M.: Finite state induced flow models. Part I: Two-dimensional thin airfoil. J. Aircr. 32(2), 313-322 (1995)
19. Peters, D.A., He, C.J.: Finite state induced flow models. Part II: Three-dimensional rotor disk. J. Aircr. 32(2), 323-333 (1995)