Discrete Methods Based on First Order Reversal Curves to Identify Preisach Model of Smart Materials

Preisach model is widely used in modeling of smart materials. Although first order reversal curves (FORCs) have often found applications in the fields of physics and geology, they are able to serve to identify Preisach model. In order to clarify the relationship between the Preisach model and the first order reversal curves, this paper is directed towards: (1) giving the reason a first order reversal curve is introduced; (2) presenting, for identifying Preisach model, two discrete methods, which are analytically based on first order reversal curves. Herein also is indicated the solution's uniqueness of these two identifying methods. At last, the validity of these two methods is verified by simulating a real smart actuator both methods have been applied to.

作 者： LI Fan ZHAO Jian-hui   作者單位： School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China  刊 名： 中國航空學報(英文版)  ISTIC 英文刊名： CHINESE JOURNAL OF AERONAUTICS  年，卷(期)： 2007 20(2)  分類號： V2  關(guān)鍵詞： first order reversal curve   Preisach model   smart material   discrete   identify  

【Discrete Methods Based on First Orde】相關(guān)文章：

Adapting Non-Task-Based Materials to Fit a Task-Based Framework04-27

Physically based simulation of Buddha Glory04-26

Golf: first step to play05-04

My First Career Experience05-04

Temperature and precipitation in Mongolia based on dendroclimatic investigations04-27

Occupant evacuation model based on cellular automata in fire04-27

Selections of data preprocessing methods and similarity metrics for gene cluster analysis04-26

Inverse minimum spanning tree problem and reverse shortest-path problem with discrete values04-26

Study of Immunoassay Methods for Recombinant Human Erythropoietin(rhEPO)Using Competitive ELISA04-26

Adaptive Impedance-controlled Manipulator Based on Collision Detection04-26