Identification and Control of Chaotic Systems

• Main Authors: Tzyy-Chyang Lu, 陸子強
• Other Authors: Gwo-Ruey Yu
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/63001474212145458653

碩士 === 義守大學 === 電機工程學系 === 88 === This thesis focuses on the investigation of the identification and control of chaotic systems. The chaotic systems applied are the Logistic Map and Tent Map. The method of combining the grey theory and the neural network is proposed for the identification of chaotic systems. In the control of chaotic systems, the LQ(Linear Quadratic)-Grey controller is presented to improve the traditional LQ controller which is not used for the compensation in advance. In addition, the control of chaotic systems via fuzzy controller is studied. By computer simulation, it can be proved that the ANFIS controller could promote the performance of the control system of chaos.