Agent-Based Multi-variant Crisis Handling Strategies for SCADA Systems

被引:1
|
作者
Dobrowolski, Grzegorz [1 ]
Byrski, Aleksander [1 ]
Siwik, Leszek [1 ]
机构
[1] AGH Univ Sci & Technol, Dept Comp Sci, PL-30059 Krakow, Poland
关键词
GENETIC ALGORITHMS; UNCERTAINTY;
D O I
10.1007/978-3-319-26404-2_5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Unpredictable changes in the problem parameters, especially when dealing with highly dynamic and complex systems like SCADA, should be predicted and appropriate strategies prepared accordingly. However, if the prediction is hard or impossible, one can consider preparing dedicated plans with dealing with these problems, in order to adapt the strategies ad-hoc when the problems arise. Such planning under uncerntainty has already been studied, and applied e.g. in the case of scheduling problems. The paper discusses SCADA as a problem similar to scheduling and constructs a system dedicated to prepare ready-to-use strategies before certain events arise. The solution is implemented in AgE platform and preliminary results are presented and discussed.
引用
收藏
页码:61 / 71
页数:11
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