2014
DOI: 10.1007/s11071-014-1866-3
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Stochastic Hopf bifurcation analysis in a stochastic lagged logistic discrete-time system with Poisson distribution coefficient

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Cited by 3 publications
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“…Li and Fang et al [18][19][20][21] have developed the orthogonal polynomial method to approximate the dynamics response of linear random structure by a series of orthogonal basis functions. Owing to the representation of random parameters as random fields greatly increases the size and complexity of the analysis, Ma et al [22][23][24][25] have applied the method of orthogonal polynomial approximation to study various dynamics behaviors of nonlinear systems with random parameter idealized as random variables and have verified this method as feasible and effective.…”
Section: Introductionmentioning
confidence: 99%
“…Li and Fang et al [18][19][20][21] have developed the orthogonal polynomial method to approximate the dynamics response of linear random structure by a series of orthogonal basis functions. Owing to the representation of random parameters as random fields greatly increases the size and complexity of the analysis, Ma et al [22][23][24][25] have applied the method of orthogonal polynomial approximation to study various dynamics behaviors of nonlinear systems with random parameter idealized as random variables and have verified this method as feasible and effective.…”
Section: Introductionmentioning
confidence: 99%