Applications of Adaptive Recurrent Cerebellar Model Articulation Computer for Control Engineering and Signal Processing

• Main Authors: Li-Yang Chen, 陳立洋
• Other Authors: Chih-Min Lin
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/97933701989982502538

碩士 === 元智大學 === 電機工程學系 === 93 === This thesis focuses on the design of recurrent cerebellar model articulation computer (RCMAC) and its application to control engineering and signal processing. In control engineering, the stability and performance properties of the proposed fault compensation and accommodation scheme in the presence of system failure are rigorously established. A design method of RCMAC for multi-input multi-output nonlinear systems is developed and is applied to a biped robot. Simulation results illustrate the effectiveness of the RCMAC-based fault compensation methodology in a nine-link robotic system. For signal processing, a stability and fast convergence algorithm is developed and is applied to a nonlinear communication channel equalization and an adaptive noise cancellation problems. The simulation results show the effectiveness of the proposed method for the channel equalization and noise cancellation problems. Thus, the proposed method can apparently applied to control engineering and signal processing.