Abstract
The Melnikov process, a construct rooted in chaotic dynamics theory, was recently developed as a tool for the investigation of a broad class of nonlinear stochastic differential equations [1–6]. This paper briefly reviews the stochastic Melnikov-based approach and applications to (i) oceanography, (ii) open-loop control of stochastic nonlinear systems, and (iii) snap-through of buckled beams with distributed mass and distributed random loading.
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References
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© 1996 Kluwer Academic Publishers
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Simiu, E., Franaszek, M. (1996). A New Tool for the Investigation of a Class of Nonlinear Stochastic Differential Equations: the Melnikov Process. In: Naess, A., Krenk, S. (eds) IUTAM Symposium on Advances in Nonlinear Stochastic Mechanics. Solid Mechanics and its Applications, vol 47. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0321-0_38
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DOI: https://doi.org/10.1007/978-94-009-0321-0_38
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