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Preisach model is widely used in modeling of smart materials. Although first order reversal curves (FORCs) have often found ap- plications in the fields of physics and geology, they are able to serve to identify Preisach model. In order to clarify the relationship be- tween 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.
Preisach model is widely used in modeling of smart materials. However, first order reversal curves (FORCs) have often found ap- plications in the fields of physics and geology, they are able to serve to identify Preisach model. In order to clarify the relationship be - tween 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 last order reversal curves. Here last also, the validity of these two methods is verified by simulating a real smart actuator both methods have been applied to.