A fuzzy neural network based extended Kalman filter

被引：8
作者：
Chao, CT
Teng, CC
机构：
[1] Institute of Control Engineering, National Chiao-Tung University, Hsinchu
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1996年 / 27卷 / 03期
关键词：
D O I：
10.1080/00207729608929221
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 this paper we construct a discrete extended Kalman filter by using fuzzy neural networks. The constructed filter makes it possible to estimate the states of a nonlinear dynamic system with unknown plant model. The unknown plant is identified by a fuzzy neural network that avoids the occurrence of divergence in state estimation. A computer simulation is presented to illustrate the performance and application of the proposed filter.
引用
收藏
页码：333 / 339
页数：7
相关论文
共 12 条
[1]  
CANDY JV, 1986, SIGNAL PROCESSING MO, P162
[2]   IMPLEMENTATION OF A FUZZY INFERENCE SYSTEM USING A NORMALIZED FUZZY NEURAL-NETWORK [J].
CHAO, CT ;
TENG, CC .
FUZZY SETS AND SYSTEMS, 1995, 75 (01) :17-31
[3]  
CHAO CT, 1996, IN PRESS IEEE T SYST
[4]   A MODEL-REFERENCE CONTROL-STRUCTURE USING A FUZZY NEURAL-NETWORK [J].
CHEN, YC ;
TENG, CC .
FUZZY SETS AND SYSTEMS, 1995, 73 (03) :291-312
[5]  
GOODWIN GC, 1984, ADAPTIVE FILTERING P, P293
[6]  
GREWAL M, 1993, KALMAN FILTERING THE
[7]   ANFIS - ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM [J].
JANG, JSR .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1993, 23 (03) :665-685
[8]  
Kalman R E., 1960, ASME J BASIC ENG, V82, P35, DOI [10.1115/1.3662552, DOI 10.1115/1.3662552]
[9]  
Pitman J., 1993, PROBABILITY
[10]   LEAST-SQUARES ESTIMATION - FROM GAUSS TO KALMAN [J].
SORENSON, HW .
IEEE SPECTRUM, 1970, 7 (07) :63-+
12