Fuzzy control of unknown multiple-input-multiple-output plants

被引：17

作者：

Li, CS ^{[1
]}

Priemer, R ^{[1
]}

机构：

[1] Univ Illinois, Dept Elect Engn & Comp Sci, Chicago, IL 60607 USA

来源：

FUZZY SETS AND SYSTEMS | 1999年 / 104卷 / 02期

关键词：

D O I：

10.1016/S0165-0114(97)00217-0

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A self-learning fuzzy logic system is given for control of unknown multiple-input-multiple-output (MIMO) plants. Some nomenclature and several data types are introduced to develop a general formulation for controller activity. A random optimization algorithm is given to train the controller. A plant model is not required for training. Instead, training is guided by observations of plant responses to inputs. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：245 / 267

页数：23

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