| Issue |
MATEC Web Conf.
Volume 113, 2017
12th International Scientific-Technical Conference on Electromechanics and Robotics “Zavalishin’s Readings” - 2017
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 5 | |
| Section | Robotics and Automation | |
| DOI | https://doi.org/10.1051/matecconf/201711302012 | |
| Published online | 20 June 2017 | |
Mathematical model and algorithm of operation scheduling for monitoring situation in local waters
1 St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 14 th line 39, St. Petersburg, 199178, Russia
2 St. Petersburg State University of Aerospace Instrumentation, Bolshaya Morskaya Str. 67A, Saint-Petersburg, 190000, Russia
* Corresponding author: sokolov_boris@inbox.ru
A multiple-model approach to description and investigation of control processes in regional maritime security system is presented. The processes considered in this paper were qualified as control processes of computing operations providing monitoring of the situation adding in the local water area and connected to relocation of different ships classes (further the active mobile objects (AMO)). Previously developed concept of active moving object (AMO) is used. The models describe operation of AMO automated monitoring and control system (AMCS) elements as well as their interaction with objects-in-service that are sources or recipients of information being processed. The unified description of various control processes allows synthesizing simultaneously both technical and functional structures of AMO AMCS. The algorithm for solving the scheduling problem is described in terms of the classical theory of optimal automatic control.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.