Fuzzy controller implementations with fewer than ten transistors?

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1004521

A. Stoica, R. Zebulum, D. Keymeulen, M. I. Ferguson, V. Duong

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引用次数: 1

Abstract

Evolutionary algorithms (EA) offer good promise for automated design of analog circuits as well as for adaptation and automatic reconfiguration of programmable devices. In particular, EAs facilitate the design of analog circuits for very specific requirements, such as those related to the implementation of fuzzy operators, or even of complete fuzzy systems. The paper starts with a brief overview of the evolutionary process applied to circuit design and of a family of analog programmable devices that support on-chip evolution. As a case study, we describe the evolutionary design of a fuzzy controller, using re-configurable analog chips models and unstructured representation. We were able to achieve a circuit that approximates the control surface of a 2-input fuzzy controller, mapping thus a full fuzzy system in only seven transistors. The paper presents evidence that EA can provide very compact solutions for implementation of fuzzy systems, and that programmable analog devices are an efficient and rapid solution for rapid deployment of fuzzy systems.

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模糊控制器实现少于十个晶体管?

进化算法(EA)为模拟电路的自动化设计以及可编程器件的自适应和自动重构提供了良好的前景。特别是，ea有助于为非常特殊的要求设计模拟电路，例如与模糊运算符的实现有关的电路，甚至是完整的模糊系统。本文首先简要概述了应用于电路设计的进化过程，以及支持片上进化的一系列模拟可编程器件。作为一个案例研究，我们描述了一个模糊控制器的进化设计，使用可重构模拟芯片模型和非结构化表示。我们能够实现一个近似于2输入模糊控制器的控制面的电路，从而在只有七个晶体管的情况下映射一个完整的模糊系统。本文提出的证据表明，EA可以为模糊系统的实现提供非常紧凑的解决方案，可编程模拟设备是快速部署模糊系统的有效和快速的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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