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HomeKeywordsbehavioral modeling

Keywords: behavioral modeling

A Method for Semi-Automated Modeling of Analog-Mixed Signal Systems in Automotive Applications based on Transient Simulation Data

Mielenz H., Doelling R., Rosenstiel W., Robert Bosch Group, DE
Functional verification by simulation is an important step during the development of present microelectronic solutions for automotive applications. Its relevance is based on the capability to compare the behavior of a developed circuit with its [...]

Combination of Analytical Models and Order Reduction Methods for System Level Modeling of Gyroscopes

Schneider P., Reitz S., Bastian J., Schwarz P., Döring C., Maute M., Neul R., Fraunhofer Institute for Integrated Circuits, DE
Within complex sensor systems different physical effects and electronics for signal processing have to be considered in the design process. In this paper we describe an approach for system level simulation of sensor systems and [...]

Pareto-Optimal Modeling for Efficient PLL Optimization

Tiwary S.K., Velu S., Rutenbar R.A., Mukherjee T., Carnegie Mellon University, US
Simulation-based synthesis tools for analog circuits [1,2] face a problem extending their sizing/biasing methodology to larger block-level designs such as phase lock loops or converters: the time to fully evaluate (i.e., to fully simulate) each [...]

System Level Simulation of Mixed-signal Multi-domain Microsystems with Piecewise Linear Behavioral Models

Kurzweg T.P., Levitan S.P., Davare A.J., Kahrs M., Chiarulli D.M., University of Pittsburgh, US
The creation of simulation tools for mixed-signal, multi-domain (MSMD) systems is challenging because these systems span the physical domains of electronics, photonics, fluidics, and mechanics, as well as multiple orders of magnitude in both time [...]

An Interactive Website as a Tool for CAD of Power Circuits

Swiercz B., Starzak L., Zubert M., Napieralski A., Technical University of Lodz, PL
The rapid development of microelectronics results in more complex semiconductor device structures and makes it necessary to use modern computer software. However, high prices and hardware requirements considerably limit the access to these CAD tools [...]

System Level Simulation of Mixed-signal Multi-domain Microsystems with Piecewise Linear Behavioral Models

Kurzweg T.P., Levitan S.P., Davare A.J., Kahrs M., Chiarulli D.M., University of Pittsburgh, US
The creation of simulation tools for mixed-signal, multi-domain (MSMD) systems is challenging because these systems span the physical domains of electronics, photonics, fluidics, and mechanics, as well as multiple orders of magnitude in both time [...]

Convergence and Speed Issues in Analog HDL Model Formulation for MEMS

Iyer S., Jing Q., Fedder G.K., Mukherjee T., ECE Department, Carnegie Mellon University, US
Behavioral simulation using high-level hardware description languages (HDLs) is becoming increasingly relevant for mixed-domain MEMS simulation. In this paper three issues which impact the convergence and simulation time in MEMS behavioral simulations are addressed. First, [...]

Microsystem Model Evaluation Using Optimization Strategies

Peters D., Laur R., University of Bremen, DE
This paper presents an automatic approach for evaluating behavioral models of micro systems' components. Optimization methods are applied aiming at the specification of a model's scope of application. The method is presented by evaluating a [...]

Opto-Electro-Mechanical model for MOEMS

Jacquemod G., Vuorinen K., Gaffiot F., Spisser A., Seassal C., Leclercq J-L, Rojo-Romeo P, Viktorovitch P., Laine J-P, Ledantec R., Benyattou T., Ecole Centrale de Lyon, FR
A highly selective and widely tunable optical filter based on MOEMS technology at 1.55 gm using a Fabry-Perot resonator with micromachined InP-air gap distributed Bragg reflectors has been designed and fabricated in our laboratory. The [...]

Computer Aided Modeling of Static and Dynamic Transfer Characteristics

Anton M., Bechtold S., Nüssen O., Laur R., University of Bremen, DE
When creating mathematical models of microsystem components or microelectronic devices, analytical and experimental modeling concepts can be distinguished. Analytical modeling, often performed on process or device level, can only be applied if the equations and [...]

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