标题: 模糊控制以及模糊类神经网路在推广型卡尔曼滤波器之应用
Fuzzy Control and the Application of Fuzzy Neural System for Extended Kalman Filter
作者: 赵春棠
Chun-Tang Chao
邓清政
Ching-Cheng Teng
电控工程研究所
关键字: 模糊控制,模糊类神经网路,卡尔曼滤波器,PD型控制器;Fuzzy control, Fuzzy neural network, Kalman filter, PD controller
公开日期: 1995
摘要: 本文对于模糊控制以及模糊类神经系统,做了深入的研究与探讨。
在模糊控制方面,我们首先推导模糊控制器与传统PD (或PI)控制
器之等效性;接着,我们还提出了一个无稳态误差响应的自调式
PD模糊控制器 另一方面,我们发展了两个模糊类神经系统:
NFNN 及 FNNS,用以简化模糊类神经网路的复杂度。此外,我们还
发展出一个结合此二系统特点的合成方法,它能在不需事前的专
家知识情况下,有弹性地鉴别并简化模糊类神经网路的架构。最
后,我们利用模糊类神经网路建立了一个离散推广型卡尔曼滤波
器用以估测非线性系统的状态。
In this thesis we do the work of research about the fuzzy
control and fuzzy-neural systems. In fuzzy control, we first
propose a fuzzy logic controller which is equivalent to the
classical PD (or PI) controller. A PD-like self-tuning fuzzy
controller is then presented that yields zero steady-state
responses. On the other hand, two fuzzy-neural systems, the
NFNN and FNNS, are developed for reducing the complexity of
a fuzzy neural network. Also, a synthesis method combining
the advantages of NFNN and FNNS is explored to flexibly
identify a fuzzy-neural-network structure without prior
expert knowledge. Finally, we construct a discrete extended
Kalman filter by using fuzzy neural networks.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT840327078
http://hdl.handle.net/11536/60340
显示于类别:Thesis