A General Fuzzified CMAC Controller with Eligibility

作者：Shen Zhipeng^*; Zhang Ning; Guo Chen

来源：5th International Symposium on Neural Networks, 2008-09-24 to 2008-09-28.

• General fuzzified CMAC (GFAC)
• receptive field function
• eligibility
• ship steering control

This paper presents an online neural network controller. Cerebellar Model Articulation Controller (CMAC) is suitable to online control due to its fast learning speed. By integrating the CMAC address scheme with fuzzy logic concept, a general fuzzified CMAC (GFAC) is proposed. Then by incorporating the concept of eligibility into the GFAC, a GFAC controller with eligibility is presented, named FACE. A learning algorithm for the FACE is derived to tune the model parameters. To achieve online control, an efficient implementation of the proposed FACE method is presented. As an example. the proposed FACE is applied to a ship steering control system. The simulation results show that the ship course can be properly controlled under the disturbances of wave. wind and current.

• 出版日期2008
• 单位大连海事大学