Fuzzy Control and the Application of Fuzzy Neural System for Extended Kalman Filter

• Main Authors: Chun-Tang Chao, 趙春棠
• Other Authors: Ching-Cheng Teng
• Format: Others
• Language: en_US
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/14771336700612808888

博士 === 國立交通大學 === 控制工程系 === 84 === 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.