السبت، 12 مارس، 2011

An Improved Fuzzy Logic Controller For Ship Steering Based on Ior Operator and Neural Rule Extraction

ICCES08, November 25-27, 2008, Faculty of Engineering - Ain Shams University, Computer Engineering & Systems Department Cairo, EGYPT
An Improved Fuzzy Logic Controller For Ship Steering Based on Ior Operator and Neural Rule Extraction
 Ibraheem Hamid, Hamada Senousy, Mahmoud Abou-Elmakarem




Abstract
 In this paper a fuzzy logic controller for ship steering is designed and simulated. The logic “ior” operator as well as wave filtering are used to obtain improved control performance as well as to get over the chattering problem associated with traditional fuzzy controllers. Moreover, an automatic neural networks-based rule generation and justification strategy is suggested to alleviate the need of manual rule extraction and pruning. This has the advantages of near-optimal easy rule generation as well as avoiding errors due to experts overlooking certain aspects of the control problem

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