A generalized constraint reduction method for reduced order MBS models
نویسندگان
چکیده
منابع مشابه
A method to construct reduced-order parameter varying models
This paper describes a method to construct reduced-order models for high dimensional nonlinear systems. It is assumed that the nonlinear system has a collection of equilibrium operating points parameterized by a scheduling parameter. First, a reduced-order linear system is constructed at each equilibrium point using input/output data. This step combines techniques from dynamic mode decompositio...
متن کاملA High-Order and Multivariate Interpolation Method For Adapting Reduced-Order Models to Continuous Parameter Changes
This paper presents an interpolation method for adapting projection-based ReducedOrder Models (ROMs) to new sets of physical and/or modeling parameters. The new method is based on the Grassmann manifold and its tangent space at a point and is applicable to many structural, fluid, and multidisciplinary engineering problems. It is illustrated here with the computational mechanics-based reduced-or...
متن کاملA Piecewise Approximate Method for Solving Second Order Fuzzy Differential Equations Under Generalized Differentiability
In this paper a numerical method for solving second order fuzzy differential equations under generalized differentiability is proposed. This method is based on the interpolating a solution by piecewise polynomial of degree 4 in the range of solution. Moreover we investigate the existence, uniqueness and convergence of approximate solutions. Finally the accuracy of piecewise approximate method b...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولA New Method for Solving Constraint Satisfaction Problems
Many important problems in Artificial Intelligence can be defined as Constraint Satisfaction Problems (CSP). These types of problems are defined by a limited set of variables, each having a limited domain and a number of Constraints on the values of those variables (these problems are also called Consistent Labeling Problems (CLP), in which “Labeling" means assigning a value to a variable.) Sol...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Multibody System Dynamics
سال: 2016
ISSN: 1384-5640,1573-272X
DOI: 10.1007/s11044-016-9557-0