Please use this identifier to cite or link to this item:
|Title:||Self-organizing approach to fuzzy control of servomechanisms|
|Authors:||Nie, Junhong |
|Source:||Nie, Junhong,Lee, T.H. (1995). Self-organizing approach to fuzzy control of servomechanisms. IEEE International Conference on Fuzzy Systems 4 : 2195-2200. ScholarBank@NUS Repository.|
|Abstract:||By employing a feedforward and feedback PD control structure, this paper presents a simple approach to the problem of controlling multivariable nonlinear servomechanisms. The feedforward control action is deduced by a simplified fuzzy reasoning system. The required rule-base is constructed automatically via a self-organizing counterpropagation network (SOCPN) in cooperation with an on-line learning mechanism. Particular attention is paid to the problem of generalization, that is, the problem of how the learned knowledge can be used to handle novel situations without need for re-learning. A specific system under consideration is a multivariable nonlinear passive line-of-sight (LOS) stabilization system. Simulation results on the LOS system are given.|
|Source Title:||IEEE International Conference on Fuzzy Systems|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 19, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.