Dynamic systems causality indices and their use in schematic design and in functional reproducibility assessment of automatic control systems
The author has defined the causality properties essence of input-output systems; it contains qualimetry, using the causality indices suggested before by the author. The paper introduces the information on calculation of these indices by the system digraph, by its adjacency and reachability matrices,...
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| Format: | Article |
| Language: | Russian |
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Tomsk Polytechnic University
2019-05-01
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| Series: | Известия Томского политехнического университета: Инжиниринг георесурсов |
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| Online Access: | http://izvestiya-tpu.ru/archive/article/view/1185 |
| Summary: | The author has defined the causality properties essence of input-output systems; it contains qualimetry, using the causality indices suggested before by the author. The paper introduces the information on calculation of these indices by the system digraph, by its adjacency and reachability matrices, as well as for the case of linear dynamic systems where the processes are described by mathematical models with continuous and discrete time, using software developed with the author participation. The way the indices of causality of input and output multidimensional objects can be used in schematic design of control systems (ACS) for them, as well as when estimating strong and weak functional reproducibility of managed objects and ACS is shown. |
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| ISSN: | 2500-1019 2413-1830 |