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Computational Intelligence and Neuroscience
Volume 2017 (2017), Article ID 2561383, 9 pages
https://doi.org/10.1155/2017/2561383
Research Article

Inference Engine in an Intelligent Ship Course-Keeping System

Maritime University of Szczecin, Wały Chrobrego 1, 70500 Szczecin, Poland

Correspondence should be addressed to Piotr Borkowski; lp.nicezczs.ma@ikswokrob.p

Received 5 September 2017; Revised 16 October 2017; Accepted 9 November 2017; Published 29 November 2017

Academic Editor: Thomas DeMarse

Copyright © 2017 Piotr Borkowski. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article presents an original design of an expert system, whose function is to automatically stabilize ship’s course. The focus is put on the inference engine, a mechanism that consists of two functional components. One is responsible for the construction of state space regions, implemented on the basis of properly processed signals recorded by sensors from the input and output of an object. The other component is responsible for generating a control decision based on the knowledge obtained in the first module. The computing experiments described herein prove the effective and correct operation of the proposed system.