Ensuring preset level of robustness in control systems for objects with the distributed parameters

Abstract

The problem of sampled-data regulator synthesis of automatic control system is considered. For the decision of the problem, the Real Interpolation Method is offered. Two important procedures, which guarantee decreasing of computation costs in comparison with traditional methods, are in its basis. Firstly, a special discrete transformation of time functions is used and derivable functions-images have real argument. Secondly, these functions are replaced with discrete forms, which can describe control system, its elements and signals. The offered way of problem decision is illustrated with numerical example.

Original language	English
Title of host publication	Proceedings - 18th International Conference on Systems Engineering, IICSEng 2005
Pages	88-93
Number of pages	6
Volume	2005
DOIs	https://doi.org/10.1109/ICSENG.2005.39
Publication status	Published - 2005
Event	18th International Conference on Systems Engineering, ICSEng 2005 - Las Vegas, NV, United States Duration: 16 Aug 2005 → 18 Aug 2005

Other

Other	18th International Conference on Systems Engineering, ICSEng 2005
Country	United States
City	Las Vegas, NV
Period	16.8.05 → 18.8.05

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/ICSENG.2005.39

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Goncharov, V & Rudnitskij , VA 2005, Ensuring preset level of robustness in control systems for objects with the distributed parameters. in Proceedings - 18th International Conference on Systems Engineering, IICSEng 2005. vol. 2005, 1562834, pp. 88-93, 18th International Conference on Systems Engineering, ICSEng 2005, Las Vegas, NV, United States, 16.8.05. https://doi.org/10.1109/ICSENG.2005.39

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author = "Valery Goncharov and Rudnitskij, {Vladislav Alexandrovich}",

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AB - The problem of sampled-data regulator synthesis of automatic control system is considered. For the decision of the problem, the Real Interpolation Method is offered. Two important procedures, which guarantee decreasing of computation costs in comparison with traditional methods, are in its basis. Firstly, a special discrete transformation of time functions is used and derivable functions-images have real argument. Secondly, these functions are replaced with discrete forms, which can describe control system, its elements and signals. The offered way of problem decision is illustrated with numerical example.

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