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  • 标题:MARKOV MODELS OF PARAMETRIC CONTROL OF ELECTRICAL SYSTEMS CONDITION AT THE OPERATION STAGE
  • 作者:A V Saushev ; S E Kuznetsov ; A B Karakayev
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:194
  • 期号:8
  • 页码:082036
  • DOI:10.1088/1755-1315/194/8/082036
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:The paper considers the state of control electrical systems (ES). It shows that the most critical element of this process is the parametric control of the ES state, which implies the solution of tasks related to ES parametric synthesis, control and prediction. Key definitions used in work are formulated. The parametric control strategy of the ES state at various stages of their life cycle is considered. It is shown that the real ES operation has two features. The first one is that the transition from one state to another mainly depends on a certain state of the ES operating in a given mode, and practically does not depend on the modes that the system has already passed through. The second feature is caused by the fact that the exposure time in each mode may be both deterministic and accidental. The conclusion is drawn on the possibility to model the ES operation by semi-Markov models with a discrete set of states. Models of changing the ES state in the modes of storage and intended application are synthesized. The process of creating the models of operating control modes of automatic control system of a ship power plant is considered as an example.
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