Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408355 | Neurocomputing | 2007 | 7 Pages |
Abstract
This paper attempts to propose a single-input cerebellar model articulation controller (CMAC) control system, which contains only one controller implemented by the CMAC. The single-input CMAC control system adopts two learning stages. An off-line learning stage is to enable the output behavior of the CMAC to approximate the control surface of a fuzzy PD-type controller. An on-line learning stage follows to improve the system stability by the modified learning rule. The linear interpolation scheme is also applied to the recall process at the on-line learning stage to ensure better accuracy of the CMAC output. Simulation results show that the single-input CMAC controller is superior to the fuzzy PD-type controller.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ming-Feng Yeh,