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Paper Information

Journal:   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH)   Winter 2003 , Volume 14 , Number 1; Page(s) 93 To 112.
 
Paper: 

DESIGN A CONTROLLER BASED ON LOCAL MODULAR FUZZY NEURAL NETWORK FOR NONLINEAR MULTI INPUT MULTI OUTPUT SYSTEMS

 
 
Author(s):  MOHAMMADI K., JAHED MOTLAGH M.R., SOLEYMANI ALI
 
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Abstract: 
The mian goal of this paper is to design a controller for nonlinear MIMO systems. It is no convenient to control these systems by classical control methods due to their interaction and nonlinearity. This paper proposed one of the appropriate solutions by using fuzzy neural networks. Using neural networks for control of MIMO systems has led to some difficulties such as high computation cost, high training period and disruptive effects of unnecessary inputs. To cope with such nonlinear control problems, research has been underway on control using a special Local Modular Fuzzy Neural Network (LMFNN) based entirely on measured inputs and outputs. This network described by using mathematical relations, and its internal stucture is shown based on block diagram. Then the proposed controller based on this network with appropriate structure and learning algorithm is designed. This controller applied to control nonlinear MIMO systems. Experimental results are used to show the feasibility and effectiveness of the proposed controller.
 
Keyword(s): NEURAL NETWORK, FUZZY NEURAL NETWORK, MODULAR FUZZY NEURAL NETWORK, LOCAL MODULAR FUZZY NEURAL NETWORK, NONLINEAR MIMO SYSTEMS, SISO SYSTEMS.
 
References: 
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