Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72908
Title: Self-organizing approach to fuzzy control of servomechanisms
Authors: Nie, Junhong 
Lee, T.H. 
Issue Date: 1995
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
URI: http://scholarbank.nus.edu.sg/handle/10635/72908
Appears in Collections:Staff Publications

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