نتایج جستجو برای: modeling of nonlinear behavior

تعداد نتایج: 21260418  

Journal: :caspian journal of mathematical sciences 2014
s. mir m.b. ghaemi g. a. afroozi

the existence of infinitely many solutions is established for a class of nonlinear functionals involving the p-biharmonic operator with nonhomoge- neous neumann boundary conditions. using a recent critical-point theorem for nonsmooth functionals and under appropriate behavior of the nonlinear term and nonhomogeneous neumann boundary conditions, we obtain the result.

Journal: :نظریه تقریب و کاربرد های آن 0
h. rouhparvar department of mathematics, college of technical and engineering, saveh branch, islamic azad university, saveh, iran

in this paper, the reduced di erential transform method is investigated fora nonlinear partial di erential equation modeling nematic liquid crystals, itis called the hunter-saxton equation. the main advantage of this methodis that it can be applied directly to nonlinear di erential equations withoutrequiring linearization, discretization, or perturbation. it is a semi analytical-numerical metho...

Journal: :international journal of marine science and engineering 2012
m. ghodsi hasanabad

free surface modeling plays an important role in some ocean structures design, especially in oscillating water column (owc) devices. boundary element method (bem) is a suitable method for free surface modeling due to its simplicity, quick solving, and low data storage requirement. in this paper, bem was used for free surface modeling in owc chamber and out of it. linear kinematic and dynamic bo...

Free surface modeling plays an important role in some ocean structures design, especially in Oscillating Water Column (OWC) devices. Boundary element method (BEM) is a suitable method for free surface modeling due to its simplicity, quick solving, and low data storage requirement. In this paper, BEM was used for free surface modeling in OWC chamber and out of it. Linear kinematic and dynamic bo...

Journal: :Neural computation 2013
Auke Jan Ijspeert Jun Nakanishi Heiko Hoffmann Peter Pastor Stefan Schaal

Nonlinear dynamical systems have been used in many disciplines to model complex behaviors, including biological motor control, robotics, perception, economics, traffic prediction, and neuroscience. While often the unexpected emergent behavior of nonlinear systems is the focus of investigations, it is of equal importance to create goal-directed behavior (e.g., stable locomotion from a system of ...

2007

The goal of this work is to arm designers with the necessary insight in the nonlinear behavior of their designs such that they can take the different specifications that are put on the nonlinear behavior correctly into account at every level of their design. The contributions of this work make it possible to achieve this goal. It covers the design at transistor level, the analysis of complete c...

Journal: :Physical review letters 2012
Zi Chen Qiaohang Guo Carmel Majidi Wenzhe Chen David J Srolovitz Mikko P Haataja

Bistable structures associated with nonlinear deformation behavior, exemplified by the Venus flytrap and slap bracelet, can switch between different functional shapes upon actuation. Despite numerous efforts in modeling such large deformation behavior of shells, the roles of mechanical and nonlinear geometric effects on bistability remain elusive. We demonstrate, through both theoretical analys...

پایان نامه :0 1392

nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...

2017
Raheleh Jafari Wen Yu Rosana Rodriguez-Lopez

The uncertain nonlinear systems can bemodeled with fuzzy equations by incorporating the fuzzy set theory. In this paper, the fuzzy equations are applied as the models for the uncertain nonlinear systems. The nonlinear modeling process is to find the coefficients of the fuzzy equations.We use the neural networks to approximate the coefficients of the fuzzy equations.The approximation theory for ...

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