Abstract
The asymptotic Lyapunov stability with probability one of multi-degree-of freedom quasi-partially integrable and non-resonant Hamiltonian systems subject to parametric excitations of combined Gaussian and Poisson white noises is studied. First, the averaged stochastic differential equations for quasi partially integrable and non-resonant Hamiltonian systems subject to parametric excitations of combined Gaussian and Poisson white noises are derived by means of the stochastic averaging method and the stochastic jump-diffusion chain rule. Then, the expression of the largest Lyapunov exponent of the averaged system is obtained by using a procedure similar to that due to Khasminskii and the properties of stochastic integro-differential equations. Finally, the stochastic stability of the original quasi-partially integrable and non-resonant Hamiltonian systems is determined approximately by using the largest Lyapunov exponent. An example is worked out in detail to illustrate the application of the proposed method. The good agreement between the analytical results and those from digital simulation show that the proposed method is effective.
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Acknowledgments
The work reported in this paper is supported by the National Natural Science Foundation of China under Grant Nos. 10932009, 11072212, 11272279, and the Basic Research Fund of Northwestern Polytechnic University under Grant No. JC201242.
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Appendices
Appendix 1
The SDEs for system (33)are:
Appendix 2
The other coefficients of Eqs. (36) and (37) are:
Appendix 3
The other coefficients of Eq. (47) are:
Appendix 4
In Figs. 2, 3 and 4, the simulation results for stability domain boundary presented by points are obtained as follows. First, draw the theoretical boundary in plane \((\beta _{11}, \beta _{22}+\beta _{33})\) using Eq. (47) with the given parameters. Then, for every \(\beta _{11} \), take one value of \(\beta _{22}+\beta _{33}\) near the theoretical boundary, and solve Eq. (33) with small initial system state near trivial solution using the fourth-order Runger–Kutta method. After long time, if system state approaches to trivial solution, then the point \((\beta _{11}, \beta _{22}+\beta _{33})\) is in stable domain. Otherwise, it is in unstable domain. The procedure of this digital simulation please see Appendix B of [21]. It has been described in [21] in detail.
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Liu, W., Zhu, W., Jia, W. et al. Stochastic stability of quasi-partially integrable and non-resonant Hamiltonian systems under parametric excitations of combined Gaussian and Poisson white noises. Nonlinear Dyn 77, 1721–1735 (2014). https://doi.org/10.1007/s11071-014-1413-2
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DOI: https://doi.org/10.1007/s11071-014-1413-2