A methodology for analog circuit macromodeling

Batra, R.; Li, P.; Pileggi, Larry; Chien, Yu-Tsun

doi:10.1109/bmas.2004.1393980

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…Macromodeling, starting from an op-amp model in 1974 [31], looks to create a nonlinear model to reproduce circuit responses as close as possible [32] using simpler digital numerical models. Models look to utilize generalized, low-order polynomials around a single fixed operating point [33][34][35][36][37], and some models utilize the nonlinear dynamics of the transistors [29,[38][39][40]. These techniques often are coupled with tool design approach, particularly joint verification of digital and analog systems [41][42][43][44].…”

Section: Level = 2: Enabling Circuit Designers To Build Level = 1 Blocksmentioning

confidence: 99%

Enabling Energy-Efficient Physical Computing through Analog Abstraction and IP Reuse

Hasler

Natarajan

Kim

2018

JLPEA

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This paper shows the first step in analog (and mixed signal) abstraction utilized in large-scale Field Programmable Analog Arrays (FPAA), encoded in the open-source SciLab/Xcos based toolset. Having any opportunity of a wide-scale utilization of ultra-low power technology both requires programmability/reconfigurability as well as abstractable tools. Abstraction is essential both make systems rapidly, as well as reduce the barrier for a number of users to use ultra-low power physical computing techniques. Analog devices, circuits, and systems are abstractable and retain their energy efficient opportunities compared with custom digital hardware. We will present the analog (and mixed signal) abstraction developed for the open-source toolkit used for the SoC FPAAs. Abstraction of Blocks in the FPAA block library makes the SoC FPAA ecosystem accessible to system-level designers while still enabling circuit designers the freedom to build at a low level. Multiple working test cases of various levels of complexity illustrate the analog abstraction capability. The FPAA block library provides a starting point for discussing the fundamental block concepts of analog computational approaches.

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Section: Level = 2: Enabling Circuit Designers To Build Level = 1 Blocksmentioning

confidence: 99%

Enabling Energy-Efficient Physical Computing through Analog Abstraction and IP Reuse

Hasler

Natarajan

Kim

2018

JLPEA

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“…Difficulties are that faulty behavior may force (nonfaulty) subsystems into highly nonlinear regions of operation, which may not be covered by their models. It is therefore important to understand the mechanism of propagation, so that to identify the order of occurrence of events and specify the paths of fault propagation in causal qualitative models [35] . For HLFM techniques in a system, it is crucial to know whether or not the high level fault-free model (e.g., opamp) is able to correctly model propagation of the faulty behavior, how fault propagation can be predicted so that the suitable model will be selected for the whole system.…”

Section: High Level Fault Modeling and Simulationmentioning

confidence: 99%

Review of high level fault modeling approaches for mixed-signal systems

Xia

Ian

Antony

2010

J. Electron.(China)

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In the modern analogue design, Transistor Level Fault Simulation (TLFS) plays the important part since every fault in the whole circuit has to be simulated at that level. Unfortunately, it is a very CPU intensive task even though it maintains the high accuracy. Therefore, High Level Fault Modeling (HLFM) and High Level Fault Simulation (HLFS) are required in order to alleviate the efforts of simulation. In this paper, different HLFM approaches are reviewed at the device level during last two decades. We clarify their domains of application and evaluate their strengths and current limitations. We also analyze causes of faults and introduce various test approaches.

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A new sampling method for analog behavioral modeling

Mansour

Maturi

et al. 2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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A methodology for analog circuit macromodeling

Cited by 9 publications

References 5 publications

Enabling Energy-Efficient Physical Computing through Analog Abstraction and IP Reuse

Enabling Energy-Efficient Physical Computing through Analog Abstraction and IP Reuse

Review of high level fault modeling approaches for mixed-signal systems

A new sampling method for analog behavioral modeling

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