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تسجيل مستخدم جديدConcurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation
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We develop an algorithm for the concurrent (on-the-fly) estimation of parameters for a system of evolutionary dissipative partial differential equations in which the state is partially observed. The intuitive nature of the algorithm makes its extension to several different systems immediate, and it allows for recovery of multiple parameters simultaneously. We test this algorithm on the Kuramoto-Sivashinsky equation in one dimension and demonstrate its efficacy in this context.
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Boris Malomed (Department of Interdisciplinary Studies
, Faculty ofn Engineering
, Tel Aviv University
2001
A model consisting of a mixed Kuramoto - Sivashinsky - KdV equation, linearly coupled to an extra linear dissipative equation, is proposed. The model applies to the description of surface waves on multilayered liquid films. The extra equation makes i
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