Experience in Development and Implementation of Intelligent Systems for Control of Dynamic Objects

O. Volkov, Y. Shepetukha, Y. Bogachuk, M. Komar, D. Volosheniuk
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Abstract

Introduction. An important area of application of advanced information technologies is intelligent control of dynamic objects in complex environment. The purpose of the article is to analyze and generalize theoretical as well as practical results related to elaboration of systems for intelligent control of dynamic objects. Future research prospects in this area are also outlined. Methods. Methodological tools include theories of intelligent control, decision making, artificial intelligence, computer vision, system analysis, acoustics, problem solving, conflict resolution. Results. The article outlines main results related to intelligent control of dynamic objects in complex and changing environment. Issues of system integrity, distinctions between traditional and intelligent control, usage of artificial intelligence in autonomous systems, data structuring, image comprehension of current situation have been discussed. Information about the implementation of high-precision control systems for various kinds of dynamic objects (sea vessels, aircrafts, UAVs) in the conditions of conflicts as well as essential informational restrictions has been presented. Though the article covers a wide spectrum of research activities with a considerable period, the authors tried to stress both interconnections and succession of scientific as well as technological achievements in the examined area. Conclusions. Main directions of future research include development and implementation of new approaches to the increase of intellectualization level for information technologies and systems.
动态对象控制智能系统的开发与实现经验
介绍。复杂环境中动态对象的智能控制是先进信息技术应用的一个重要领域。本文的目的是分析和概括与动态对象智能控制系统设计相关的理论和实践结果。展望了该领域未来的研究前景。方法。方法论工具包括智能控制、决策、人工智能、计算机视觉、系统分析、声学、问题解决、冲突解决等理论。结果。本文概述了复杂多变环境中动态对象智能控制的主要研究成果。讨论了系统完整性、传统控制与智能控制的区别、人工智能在自治系统中的应用、数据结构、对现状的图像理解等问题。介绍了在冲突条件下对各种动态目标(海船、飞机、无人机)实施高精度控制系统的信息,以及必要的信息限制。虽然这篇文章涵盖了相当长的一段时间内广泛的研究活动,但作者试图强调所研究领域的科学和技术成果的相互联系和继承。结论。未来研究的主要方向是开发和实施提高信息技术和系统智能化水平的新途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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16
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24 weeks
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