FUZZY-LOGIC CONTROL - A TAXONOMY OF DEMONSTRATED BENEFITS

被引:26
作者
THOMAS, DE
ARMSTRONGHELOUVRY, B
机构
[1] Department of Electrical Engineering and Computer Science, The University of Wisconsin–Milwaukee, Milwaukee
关键词
D O I
10.1109/5.364487
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The motivations for fuzzy logic control (FLC) are illuminated by exploring the benefits obtained by application designers through its use. A context for this exploration is set with a discussion of the characteristics of control policies and of the general attributes of FLC. Each benefit is described by reference to reported FLC implementations in which the benefit is demonstrated. Based on common features of the example applications, application preconditions for obtaining each benefit are stated.
引用
收藏
页码:407 / 421
页数:15
相关论文
共 51 条
[1]  
ABRAMOVITCH D, 1994, 1994 P AM CONTR C, P168
[2]  
[Anonymous], 1992, NEURAL NETWORKS FUZZ
[3]  
[Anonymous], 1991, NEURAL NETWORKS
[4]  
Astrom K.J., 2013, ADAPTIVE CONTROL
[5]  
Bellman Richard, 1962, APPL DYNAMIC PROGRAM
[6]  
Bennett S, 1979, HIST CONTROL ENG
[7]  
Bernard J. A., 1988, IEEE Control Systems Magazine, V8, P3, DOI 10.1109/37.7735
[8]  
Chiu S., 1991, IEEE Control Systems Magazine, V11, P42, DOI 10.1109/37.88591
[9]  
CHRISTIAN PM, 1993, SECOND IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2, P877, DOI 10.1109/FUZZY.1993.327557
[10]   GENERALIZED PREDICTIVE CONTROL .1. THE BASIC ALGORITHM [J].
CLARKE, DW ;
MOHTADI, C ;
TUFFS, PS .
AUTOMATICA, 1987, 23 (02) :137-148