车辆管理系统理论

M. Watson, S.B. Johnson
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引用次数: 9

摘要

随着计算机能力的不断提高,工程师们设计的车辆可以执行更复杂的任务。无论是像机器人太空探测器那样完全自动化,还是与宇航员一起部分自动化,飞行器都变得越来越复杂,也越来越有能力。为了管理这种复杂性,设计人员开发了越来越复杂的车辆管理系统(VMS)来管理车辆的内部状态,并在其外部环境中运行。虽然vms通常是有效的,但它的设计通常是临时的。利用信息论、复杂性理论和人工智能的见解,本文开发了一个理论框架,以理解虚拟系统的本质。该理论定义了VMS功能的相互作用,并提供了一个数学公式来评估不同VMS配置的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Theory of Vehicle Management Systems
With the increasing capability of computers, engineers have designed vehicles to perform ever more complex tasks. Whether fully automated, as with robotic space probes, or partially automated in conjunction with a crew, vehicles have become both more complex and more capable. To manage this complexity, designers have developed increasingly sophisticated vehicle management systems (VMS) to manage vehicle internal states, and to operate in its external environment. While often effective, design of VMSs has often been on an ad hoc basis. Using insights from information theory, complexity theory, and artificial intelligence, this paper develops a theoretical framework in which to understand the nature of VMSs. The theory defines the interaction of VMS functions and provides a mathematical formulation to assess the complexity of different VMS configurations.
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