Unified modeling technique using VHDL-AMS and software components

Rezgui, Abir; Gerbaud, Laurent; Delinchant, Benoît

doi:10.1016/j.matcom.2012.11.003

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Some of them have been designed to represent a specific device for a specific type of application, such as AHaH [12], ANN [15,16], Slime mold [17], and neuromorphic applications [5]. Implementation of the memristor could be generated on several tools of simulation, such as SPICE [18][19][20][21][22][23][24][25], Matlab [26][27][28][29][30][31][32], Verilog-A [33], and VHDL-AMS [34][35][36][37]. Resistive switching behavior is one of the fundamental properties showed in memristors; the well-known HP lab model of a memristor [3] shown in Figure 1 electrodes.…”

Section: Theoretical Principlesmentioning

confidence: 99%

Coexistence of Bipolar and Unipolar Memristor Switching Behavior

Ghedira¹,

Rziga²,

Mbarek³

et al. 2019

Memristors - Circuits and Applications of Memristor Devices [Working Title]

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The memristor has been theoretically investigated as one of the fundamental electrical elements by Pr. Leon Chua in 1971. Meanwhile, its electrical characteristics are not yet fully understood. The nonlinear characteristics and the ability to examine large-scale amounts of storing data of this device reveal an interesting development in emerging electronic systems. Research on memristor modeling based on SPICE tools has grown rapidly. This leads us to study the behavior of such devices. Our aim is to simulate different types of memristor behavior. The adjustment of the model is based on the implementation of several parameters, which enables the switching of this device. In this chapter, we prove the flexibility and the correlation of memristor model with different memristive characterization data, by applying different voltage bias, sinusoidal and with a repetitive sweeping. Moreover, we demonstrate the memristor behavior as four types of switching. This includes bipolar switching, unipolar switching, bipolar switching with forgetting effect, and a reversible process between bipolar and unipolar switching. In order to validate this study, we compare our simulation results with experimental data and we prove a good agreement. The SPICE model used in our simulations shows a special advantage for its flexibility and simplicity.

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Section: Theoretical Principlesmentioning

confidence: 99%

Coexistence of Bipolar and Unipolar Memristor Switching Behavior

Ghedira¹,

Rziga²,

Mbarek³

et al. 2019

Memristors - Circuits and Applications of Memristor Devices [Working Title]

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“…Therefore, it is important to improve the interoperability of magnetic simulation tools to make easier model exchange ( Fig.1). A first approach, dedicated to component level simulation and using numerical PDE (Partial Differential Equations ) solvers, is based on the weak coupling of complex or binary models (black box) [1]. For the system level simulation, a preferred solution provides an explicit model (white box) which can be strongly coupled with other white box models (mechanical, thermal, economic…).…”

Section: Introductionmentioning

confidence: 99%

VHDL-AMS Electromagnetic Automatic Modeling for System Simulation and Design

Rezgui¹,

Gerbaud²,

Delinchant³

2014

IEEE Trans. Magn.

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To improve interoperability between system level's modeling and simulation, this paper proposes an approach to export models from dedicated magnetic tools into a standardized format, such VHDL-AMS, as powerful modeling language. The goal is to let designers to use a unique modeling approach and single simulation tool to simulate the behavior of a complete electromagnetic system and to make easy the translation of existing models to VHDL-AMS. Thus preserving investment has been provided for them. The paper addresses this methodology as a computer-aided generation of the VHDL-AMS code from macro and micro electromagnetic devices for system simulation. The translation uses Model Driven Engineering (MDE) methods as the transformation of model to another and the code generation from models. Implementation and methodology are illustrated on a dynamic E-shaped actuator such a macro-system case study and a diamagnetic levitation device as micro-system one.

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