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 |