Methods and Algorithms of Proactive control of Complex Dynamic Objects with Disturbance Compensation
Controlling a complex dynamic object in real time and satisfying multiple criteria involves constant dealing with state deviations from the constructed plan, caused by external disturbances of a stochastic nature, and the lack of knowledge about the controlled object in the process of building the p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2019-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/abstract24/files/Gni.pdf
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| Summary: | Controlling a complex dynamic object in real time and satisfying multiple criteria involves constant dealing with state deviations from the constructed plan, caused by external disturbances of a stochastic nature, and the lack of knowledge about the controlled object in the process of building the plan. The present paper suggests models and algorithms for compensating such deviations in relation to the control of individual trains within the framework of the developed multi- level multi-model complex designed for group planning and coordination of trains within a single logistics network. Another covered aspect is the algorithm of parametric adaptation, involving adjustment of model parameters and improvement of planning accuracy. |
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| ISSN: | 2305-7254 2343-0737 |