NEUROCONTROL AND ELASTIC FUZZY-LOGIC - CAPABILITIES, CONCEPTS, AND APPLICATIONS

被引：17

作者：

WERBOS, PJ

机构：

[1] National Science Foundation, Washington, DC

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1993年 / 40卷 / 02期

关键词：

D O I：

10.1109/41.222638

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, enormous progress has been made in neurocontrol-the use of neural nets as controllers. Designs from neurocontrol can also be used with a wide variety of nonneural system. For example, this paper will show how elastic fuzzy logic (EFL) nets make it possible to combine the capabilities of expert systems with the learning capabilities of neural nets at a high level. Still, ANN implementations have advantages in terms of hardware implementation, ease of use, generality, and links to the brain, which is still the only true intelligent controller available to us. Neurocontrol is useful in cloning experts, tracking trajectories or setpoints, and in optimization (e.g, approximate dynamic programming). There has been substantial success in controlling robot arms (including the main arm of the space shuttle), chemical process control, continuous production of high-quality parts, and other aerospace applications. This paper is a tutorial or roadmap of the basic designs and concepts, with reference both to applications and future research opportunities.

引用

页码：170 / 180

页数：11

共 17 条

[1]

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[2]

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[3]

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[4]

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[5]

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[6]

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[7]

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[8]

Werbos P., Neurocontrol and fuzzy logic: Connections and designs, Int. J. Approx. Reasoning, (1992)

[9]

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[10]

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